[{"scopus_import":"1","acknowledgement":"The authors thank Joel Dietz for maintaining the mice used in this study, Satoshi Kinoshita and the Translational Research Initiative in Pathology Laboratory at the University of Wisconsin-Madison for cutting retinal sections analyzed in this study, and Mark Banghart for statistical review of the data analysis. Supported by National Eye Institute Grants R01 EY012223 (RWN), R01 EY030123 (RWN), R01 EY029809 (LWG), R01 EY029809 (LWG) and a Vision Research CORE grant P30 EY016665, NRSA grant T32 GM081061, by an unrestricted research grant from Research to Prevent Blindness, Inc., and by a University of Wisconsin-Madison Vilas Life Cycle award and the Frederick A. Davis Research Chair (RWN). ","date_published":"2021-08-16T00:00:00Z","month":"08","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2021","file":[{"date_updated":"2022-05-13T07:40:15Z","file_size":19707796,"file_id":"11369","creator":"dernst","file_name":"2021_IOVS_Schmitt.pdf","content_type":"application/pdf","relation":"main_file","success":1,"date_created":"2022-05-13T07:40:15Z","access_level":"open_access","checksum":"c430967746f653aa1ae84ee617f62b73"}],"publication":"Investigative Ophthalmology & Visual Science","external_id":{"pmid":["34398198"],"isi":["000695230000014"]},"oa":1,"abstract":[{"text":"Inhibition or targeted deletion of histone deacetylase 3 (HDAC3) is neuroprotective in a variety neurodegenerative conditions, including retinal ganglion cells (RGCs) after acute optic nerve damage. Consistent with this, induced HDAC3 expression in cultured cells shows selective toxicity to neurons. Despite an established role for HDAC3 in neuronal pathology, little is known regarding the mechanism of this pathology.","lang":"eng"}],"department":[{"_id":"SaSi"}],"language":[{"iso":"eng"}],"publisher":"Association for Research in Vision and Ophthalmology","author":[{"first_name":"Heather M.","last_name":"Schmitt","full_name":"Schmitt, Heather M."},{"last_name":"Fehrman","first_name":"Rachel L.","full_name":"Fehrman, Rachel L."},{"id":"3838F452-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9642-1085","full_name":"Maes, Margaret E","first_name":"Margaret E","last_name":"Maes"},{"full_name":"Yang, Huan","first_name":"Huan","last_name":"Yang"},{"full_name":"Guo, Lian Wang","first_name":"Lian Wang","last_name":"Guo"},{"last_name":"Schlamp","first_name":"Cassandra L.","full_name":"Schlamp, Cassandra L."},{"last_name":"Pelzel","first_name":"Heather R.","full_name":"Pelzel, Heather R."},{"full_name":"Nickells, Robert W.","last_name":"Nickells","first_name":"Robert W."}],"citation":{"mla":"Schmitt, Heather M., et al. “Increased Susceptibility and Intrinsic Apoptotic Signaling in Neurons by Induced HDAC3 Expression.” <i>Investigative Ophthalmology &#38; Visual Science</i>, vol. 62, no. 10, 14, Association for Research in Vision and Ophthalmology, 2021, doi:<a href=\"https://doi.org/10.1167/IOVS.62.10.14\">10.1167/IOVS.62.10.14</a>.","ista":"Schmitt HM, Fehrman RL, Maes ME, Yang H, Guo LW, Schlamp CL, Pelzel HR, Nickells RW. 2021. Increased susceptibility and intrinsic apoptotic signaling in neurons by induced HDAC3 expression. Investigative Ophthalmology &#38; Visual Science. 62(10), 14.","chicago":"Schmitt, Heather M., Rachel L. Fehrman, Margaret E Maes, Huan Yang, Lian Wang Guo, Cassandra L. Schlamp, Heather R. Pelzel, and Robert W. Nickells. “Increased Susceptibility and Intrinsic Apoptotic Signaling in Neurons by Induced HDAC3 Expression.” <i>Investigative Ophthalmology &#38; Visual Science</i>. Association for Research in Vision and Ophthalmology, 2021. <a href=\"https://doi.org/10.1167/IOVS.62.10.14\">https://doi.org/10.1167/IOVS.62.10.14</a>.","ama":"Schmitt HM, Fehrman RL, Maes ME, et al. Increased susceptibility and intrinsic apoptotic signaling in neurons by induced HDAC3 expression. <i>Investigative Ophthalmology &#38; Visual Science</i>. 2021;62(10). doi:<a href=\"https://doi.org/10.1167/IOVS.62.10.14\">10.1167/IOVS.62.10.14</a>","short":"H.M. Schmitt, R.L. Fehrman, M.E. Maes, H. Yang, L.W. Guo, C.L. Schlamp, H.R. Pelzel, R.W. Nickells, Investigative Ophthalmology &#38; Visual Science 62 (2021).","apa":"Schmitt, H. M., Fehrman, R. L., Maes, M. E., Yang, H., Guo, L. W., Schlamp, C. L., … Nickells, R. W. (2021). Increased susceptibility and intrinsic apoptotic signaling in neurons by induced HDAC3 expression. <i>Investigative Ophthalmology &#38; Visual Science</i>. Association for Research in Vision and Ophthalmology. <a href=\"https://doi.org/10.1167/IOVS.62.10.14\">https://doi.org/10.1167/IOVS.62.10.14</a>","ieee":"H. M. Schmitt <i>et al.</i>, “Increased susceptibility and intrinsic apoptotic signaling in neurons by induced HDAC3 expression,” <i>Investigative Ophthalmology &#38; Visual Science</i>, vol. 62, no. 10. Association for Research in Vision and Ophthalmology, 2021."},"day":"16","date_created":"2021-09-12T22:01:23Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"status":"public","title":"Increased susceptibility and intrinsic apoptotic signaling in neurons by induced HDAC3 expression","volume":62,"date_updated":"2026-08-12T11:15:05Z","oa_version":"Published Version","ddc":["570"],"article_type":"original","fulldoi":"https://doi.org/10.1167/IOVS.62.10.14","isi":1,"article_processing_charge":"Yes","has_accepted_license":"1","quality_controlled":"1","file_date_updated":"2022-05-13T07:40:15Z","publication_identifier":{"issn":["0146-0404"],"eissn":["1552-5783"]},"pmid":1,"_id":"10000","issue":"10","article_number":"14","intvolume":"        62","doi":"10.1167/IOVS.62.10.14","type":"journal_article","publication_status":"published"},{"oa":1,"department":[{"_id":"MaMo"}],"language":[{"iso":"eng"}],"abstract":[{"text":"This work analyzes the latency of the simplified successive cancellation (SSC) decoding scheme for polar codes proposed by Alamdar-Yazdi and Kschischang. It is shown that, unlike conventional successive cancellation decoding, where latency is linear in the block length, the latency of SSC decoding is sublinear. More specifically, the latency of SSC decoding is O(N1−1/μ) , where N is the block length and μ is the scaling exponent of the channel, which captures the speed of convergence of the rate to capacity. Numerical results demonstrate the tightness of the bound and show that most of the latency reduction arises from the parallel decoding of subcodes of rate 0 or 1.","lang":"eng"}],"publisher":"IEEE","citation":{"ista":"Mondelli M, Hashemi SA, Cioffi JM, Goldsmith A. 2021. Sublinear latency for simplified successive cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. 20(1), 18–27.","mla":"Mondelli, Marco, et al. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” <i>IEEE Transactions on Wireless Communications</i>, vol. 20, no. 1, IEEE, 2021, pp. 18–27, doi:<a href=\"https://doi.org/10.1109/TWC.2020.3022922\">10.1109/TWC.2020.3022922</a>.","ama":"Mondelli M, Hashemi SA, Cioffi JM, Goldsmith A. Sublinear latency for simplified successive cancellation decoding of polar codes. <i>IEEE Transactions on Wireless Communications</i>. 2021;20(1):18-27. doi:<a href=\"https://doi.org/10.1109/TWC.2020.3022922\">10.1109/TWC.2020.3022922</a>","chicago":"Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” <i>IEEE Transactions on Wireless Communications</i>. IEEE, 2021. <a href=\"https://doi.org/10.1109/TWC.2020.3022922\">https://doi.org/10.1109/TWC.2020.3022922</a>.","short":"M. Mondelli, S.A. Hashemi, J.M. Cioffi, A. Goldsmith, IEEE Transactions on Wireless Communications 20 (2021) 18–27.","ieee":"M. Mondelli, S. A. Hashemi, J. M. Cioffi, and A. Goldsmith, “Sublinear latency for simplified successive cancellation decoding of polar codes,” <i>IEEE Transactions on Wireless Communications</i>, vol. 20, no. 1. IEEE, pp. 18–27, 2021.","apa":"Mondelli, M., Hashemi, S. A., Cioffi, J. M., &#38; Goldsmith, A. (2021). Sublinear latency for simplified successive cancellation decoding of polar codes. <i>IEEE Transactions on Wireless Communications</i>. IEEE. <a href=\"https://doi.org/10.1109/TWC.2020.3022922\">https://doi.org/10.1109/TWC.2020.3022922</a>"},"author":[{"last_name":"Mondelli","first_name":"Marco","full_name":"Mondelli, Marco","orcid":"0000-0002-3242-7020","id":"27EB676C-8706-11E9-9510-7717E6697425"},{"last_name":"Hashemi","first_name":"Seyyed Ali","full_name":"Hashemi, Seyyed Ali"},{"first_name":"John M.","last_name":"Cioffi","full_name":"Cioffi, John M."},{"first_name":"Andrea","last_name":"Goldsmith","full_name":"Goldsmith, Andrea"}],"main_file_link":[{"url":"https://arxiv.org/abs/1909.04892","open_access":"1"}],"date_created":"2021-01-31T23:01:21Z","day":"01","status":"public","title":"Sublinear latency for simplified successive cancellation decoding of polar codes","volume":20,"date_updated":"2026-08-12T11:12:22Z","oa_version":"Preprint","page":"18-27","month":"01","date_published":"2021-01-01T00:00:00Z","arxiv":1,"scopus_import":"1","acknowledgement":"M. Mondelli was partially supported by grants NSF DMS-1613091, CCF-1714305, IIS-1741162, and ONR N00014-18-1-2729. S. A. Hashemi is supported by a Postdoctoral Fellowship from the Natural Sciences and Engineering Research Council of Canada (NSERC) and by Huawei. The authors would like to thank the anonymous reviewers for their comments that helped improving the quality of the manuscript.","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2021","publication":"IEEE Transactions on Wireless Communications","external_id":{"isi":["000607808800002"],"arxiv":["1909.04892"]},"publication_identifier":{"eissn":["1558-2248"],"issn":["1536-1276"]},"issue":"1","_id":"9047","intvolume":"        20","doi":"10.1109/TWC.2020.3022922","type":"journal_article","publication_status":"published","related_material":{"record":[{"relation":"earlier_version","status":"public","id":"8536"}]},"fulldoi":"https://doi.org/10.1109/TWC.2020.3022922","article_type":"original","isi":1,"corr_author":"1","article_processing_charge":"No","quality_controlled":"1"},{"status":"public","title":"Exploiting spontaneous transmissions for broadcasting and leader election in radio networks","volume":68,"date_updated":"2026-08-12T14:03:54Z","oa_version":"Preprint","oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"DaAl"}],"abstract":[{"lang":"eng","text":"We study two fundamental communication primitives: broadcasting and leader election in the classical model of multi-hop radio networks with unknown topology and without collision detection mechanisms. It has been known for almost 20 years that in undirected networks with n nodes and diameter D, randomized broadcasting requires Ω(D log n/D + log2 n) rounds, assuming that uninformed nodes are not allowed to communicate (until they are informed). Only very recently, Haeupler and Wajc (PODC'2016) showed that this bound can be improved for the model with spontaneous transmissions, providing an O(D log n log log n/log D + logO(1) n)-time broadcasting algorithm. In this article, we give a new and faster algorithm that completes broadcasting in O(D log n/log D + logO(1) n) time, succeeding with high probability. This yields the first optimal O(D)-time broadcasting algorithm whenever n is polynomial in D.\r\n\r\nFurthermore, our approach can be applied to design a new leader election algorithm that matches the performance of our broadcasting algorithm. Previously, all fast randomized leader election algorithms have used broadcasting as a subroutine and their complexity has been asymptotically strictly larger than the complexity of broadcasting. In particular, the fastest previously known randomized leader election algorithm of Ghaffari and Haeupler (SODA'2013) requires O(D log n/D min {log log n, log n/D} + logO(1) n)-time, succeeding with high probability. Our new algorithm again requires O(D log n/log D + logO(1) n) time, also succeeding with high probability."}],"publisher":"ACM","author":[{"full_name":"Czumaj, Artur","last_name":"Czumaj","first_name":"Artur"},{"full_name":"Davies, Peter","id":"11396234-BB50-11E9-B24C-90FCE5697425","orcid":"0000-0002-5646-9524","last_name":"Davies","first_name":"Peter"}],"citation":{"ama":"Czumaj A, Davies P. Exploiting spontaneous transmissions for broadcasting and leader election in radio networks. <i>Journal of the ACM</i>. 2021;68(2). doi:<a href=\"https://doi.org/10.1145/3446383\">10.1145/3446383</a>","chicago":"Czumaj, Artur, and Peter Davies. “Exploiting Spontaneous Transmissions for Broadcasting and Leader Election in Radio Networks.” <i>Journal of the ACM</i>. ACM, 2021. <a href=\"https://doi.org/10.1145/3446383\">https://doi.org/10.1145/3446383</a>.","short":"A. Czumaj, P. Davies, Journal of the ACM 68 (2021).","ista":"Czumaj A, Davies P. 2021. Exploiting spontaneous transmissions for broadcasting and leader election in radio networks. Journal of the ACM. 68(2), 13.","mla":"Czumaj, Artur, and Peter Davies. “Exploiting Spontaneous Transmissions for Broadcasting and Leader Election in Radio Networks.” <i>Journal of the ACM</i>, vol. 68, no. 2, 13, ACM, 2021, doi:<a href=\"https://doi.org/10.1145/3446383\">10.1145/3446383</a>.","ieee":"A. Czumaj and P. Davies, “Exploiting spontaneous transmissions for broadcasting and leader election in radio networks,” <i>Journal of the ACM</i>, vol. 68, no. 2. ACM, 2021.","apa":"Czumaj, A., &#38; Davies, P. (2021). Exploiting spontaneous transmissions for broadcasting and leader election in radio networks. <i>Journal of the ACM</i>. ACM. <a href=\"https://doi.org/10.1145/3446383\">https://doi.org/10.1145/3446383</a>"},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1703.01859"}],"date_created":"2024-04-03T07:41:46Z","day":"28","year":"2021","publication":"Journal of the ACM","external_id":{"arxiv":["1703.01859"]},"month":"01","date_published":"2021-01-28T00:00:00Z","arxiv":1,"keyword":["Artificial Intelligence","Hardware and Architecture","Information Systems","Control and Systems Engineering","Software"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1145/3446383","type":"journal_article","publication_status":"published","publication_identifier":{"issn":["0004-5411"],"eissn":["1557-735X"]},"issue":"2","_id":"15267","article_number":"13","intvolume":"        68","article_processing_charge":"No","quality_controlled":"1","fulldoi":"https://doi.org/10.1145/3446383","article_type":"original"},{"doi":"10.1142/S0218202521500470","type":"journal_article","publication_status":"published","publication_identifier":{"issn":["0218-2025"],"eissn":["1793-6314"]},"_id":"10575","issue":"11","intvolume":"        31","article_processing_charge":"No","has_accepted_license":"1","quality_controlled":"1","file_date_updated":"2022-05-16T10:55:45Z","article_type":"original","fulldoi":"https://doi.org/10.1142/S0218202521500470","isi":1,"title":"On the dynamic slip boundary condition for Navier-Stokes-like problems","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"status":"public","date_updated":"2025-04-15T08:31:30Z","volume":31,"oa_version":"Published Version","ddc":["510"],"oa":1,"abstract":[{"lang":"eng","text":"The choice of the boundary conditions in mechanical problems has to reflect the interaction of the considered material with the surface. Still the assumption of the no-slip condition is preferred in order to avoid boundary terms in the analysis and slipping effects are usually overlooked. Besides the “static slip models”, there are phenomena that are not accurately described by them, e.g. at the moment when the slip changes rapidly, the wall shear stress and the slip can exhibit a sudden overshoot and subsequent relaxation. When these effects become significant, the so-called dynamic slip phenomenon occurs. We develop a mathematical analysis of Navier–Stokes-like problems with a dynamic slip boundary condition, which requires a proper generalization of the Gelfand triplet and the corresponding function space setting."}],"language":[{"iso":"eng"}],"department":[{"_id":"JuFi"}],"publisher":"World Scientific Publishing","citation":{"ama":"Abbatiello A, Bulíček M, Maringová E. On the dynamic slip boundary condition for Navier-Stokes-like problems. <i>Mathematical Models and Methods in Applied Sciences</i>. 2021;31(11):2165-2212. doi:<a href=\"https://doi.org/10.1142/S0218202521500470\">10.1142/S0218202521500470</a>","short":"A. Abbatiello, M. Bulíček, E. Maringová, Mathematical Models and Methods in Applied Sciences 31 (2021) 2165–2212.","chicago":"Abbatiello, Anna, Miroslav Bulíček, and Erika Maringová. “On the Dynamic Slip Boundary Condition for Navier-Stokes-like Problems.” <i>Mathematical Models and Methods in Applied Sciences</i>. World Scientific Publishing, 2021. <a href=\"https://doi.org/10.1142/S0218202521500470\">https://doi.org/10.1142/S0218202521500470</a>.","ista":"Abbatiello A, Bulíček M, Maringová E. 2021. On the dynamic slip boundary condition for Navier-Stokes-like problems. Mathematical Models and Methods in Applied Sciences. 31(11), 2165–2212.","mla":"Abbatiello, Anna, et al. “On the Dynamic Slip Boundary Condition for Navier-Stokes-like Problems.” <i>Mathematical Models and Methods in Applied Sciences</i>, vol. 31, no. 11, World Scientific Publishing, 2021, pp. 2165–212, doi:<a href=\"https://doi.org/10.1142/S0218202521500470\">10.1142/S0218202521500470</a>.","apa":"Abbatiello, A., Bulíček, M., &#38; Maringová, E. (2021). On the dynamic slip boundary condition for Navier-Stokes-like problems. <i>Mathematical Models and Methods in Applied Sciences</i>. World Scientific Publishing. <a href=\"https://doi.org/10.1142/S0218202521500470\">https://doi.org/10.1142/S0218202521500470</a>","ieee":"A. Abbatiello, M. Bulíček, and E. Maringová, “On the dynamic slip boundary condition for Navier-Stokes-like problems,” <i>Mathematical Models and Methods in Applied Sciences</i>, vol. 31, no. 11. World Scientific Publishing, pp. 2165–2212, 2021."},"author":[{"first_name":"Anna","last_name":"Abbatiello","full_name":"Abbatiello, Anna"},{"first_name":"Miroslav","last_name":"Bulíček","full_name":"Bulíček, Miroslav"},{"full_name":"Maringová, Erika","id":"dbabca31-66eb-11eb-963a-fb9c22c880b4","first_name":"Erika","last_name":"Maringová"}],"day":"13","date_created":"2021-12-26T23:01:27Z","year":"2021","publication":"Mathematical Models and Methods in Applied Sciences","file":[{"checksum":"8c0a9396335f0b70e1f5cbfe450a987a","access_level":"open_access","success":1,"date_created":"2022-05-16T10:55:45Z","relation":"main_file","content_type":"application/pdf","file_name":"2021_MathModelsMethods_Abbatiello.pdf","creator":"dernst","file_id":"11385","date_updated":"2022-05-16T10:55:45Z","file_size":795483}],"project":[{"name":"Taming Complexity in Partial Differential Systems","_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2","grant_number":"F6504"},{"_id":"260788DE-B435-11E9-9278-68D0E5697425","grant_number":"W1245","name":"Dissipation and dispersion in nonlinear partial differential equations","call_identifier":"FWF"}],"external_id":{"isi":["000722309400001"],"arxiv":["2009.09057"]},"page":"2165-2212","scopus_import":"1","acknowledgement":"The research of A. Abbatiello is supported by Einstein Foundation, Berlin. A. Abbatiello is also member of the Italian National Group for the Mathematical Physics (GNFM) of INdAM. M. Bulíček acknowledges the support of the project No. 20-11027X financed by Czech Science Foundation (GACR). M. Bulíček is member of the Jindřich Nečas Center for Mathematical Modelling. E. Maringová acknowledges support from Charles University Research program UNCE/SCI/023, the grant SVV-2020-260583 by the Ministry of Education, Youth and Sports, Czech Republic and from the Austrian Science Fund (FWF), grants P30000, W1245, and F65.","month":"10","date_published":"2021-10-13T00:00:00Z","arxiv":1,"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8"},{"main_file_link":[{"url":"https://arxiv.org/abs/2009.06917","open_access":"1"}],"citation":{"chicago":"Bulíček, Miroslav, Erika Maringová, and Josef Málek. “On Nonlinear Problems of Parabolic Type with Implicit Constitutive Equations Involving Flux.” <i>Mathematical Models and Methods in Applied Sciences</i>. World Scientific Publishing, 2021. <a href=\"https://doi.org/10.1142/S0218202521500457\">https://doi.org/10.1142/S0218202521500457</a>.","short":"M. Bulíček, E. Maringová, J. Málek, Mathematical Models and Methods in Applied Sciences 31 (2021).","ama":"Bulíček M, Maringová E, Málek J. On nonlinear problems of parabolic type with implicit constitutive equations involving flux. <i>Mathematical Models and Methods in Applied Sciences</i>. 2021;31(09). doi:<a href=\"https://doi.org/10.1142/S0218202521500457\">10.1142/S0218202521500457</a>","mla":"Bulíček, Miroslav, et al. “On Nonlinear Problems of Parabolic Type with Implicit Constitutive Equations Involving Flux.” <i>Mathematical Models and Methods in Applied Sciences</i>, vol. 31, no. 09, World Scientific Publishing, 2021, doi:<a href=\"https://doi.org/10.1142/S0218202521500457\">10.1142/S0218202521500457</a>.","ista":"Bulíček M, Maringová E, Málek J. 2021. On nonlinear problems of parabolic type with implicit constitutive equations involving flux. Mathematical Models and Methods in Applied Sciences. 31(09).","apa":"Bulíček, M., Maringová, E., &#38; Málek, J. (2021). On nonlinear problems of parabolic type with implicit constitutive equations involving flux. <i>Mathematical Models and Methods in Applied Sciences</i>. World Scientific Publishing. <a href=\"https://doi.org/10.1142/S0218202521500457\">https://doi.org/10.1142/S0218202521500457</a>","ieee":"M. Bulíček, E. Maringová, and J. Málek, “On nonlinear problems of parabolic type with implicit constitutive equations involving flux,” <i>Mathematical Models and Methods in Applied Sciences</i>, vol. 31, no. 09. World Scientific Publishing, 2021."},"publisher":"World Scientific Publishing","author":[{"full_name":"Bulíček, Miroslav","first_name":"Miroslav","last_name":"Bulíček"},{"id":"dbabca31-66eb-11eb-963a-fb9c22c880b4","full_name":"Maringová, Erika","last_name":"Maringová","first_name":"Erika"},{"full_name":"Málek, Josef","last_name":"Málek","first_name":"Josef"}],"day":"25","date_created":"2021-09-12T22:01:25Z","oa":1,"abstract":[{"lang":"eng","text":"We study systems of nonlinear partial differential equations of parabolic type, in which the elliptic operator is replaced by the first-order divergence operator acting on a flux function, which is related to the spatial gradient of the unknown through an additional implicit equation. This setting, broad enough in terms of applications, significantly expands the paradigm of nonlinear parabolic problems. Formulating four conditions concerning the form of the implicit equation, we first show that these conditions describe a maximal monotone p-coercive graph. We then establish the global-in-time and large-data existence of a (weak) solution and its uniqueness. To this end, we adopt and significantly generalize Minty’s method of monotone mappings. A unified theory, containing several novel tools, is developed in a way to be tractable from the point of view of numerical approximations."}],"department":[{"_id":"JuFi"}],"language":[{"iso":"eng"}],"oa_version":"Preprint","title":"On nonlinear problems of parabolic type with implicit constitutive equations involving flux","status":"public","volume":31,"date_updated":"2026-08-18T07:47:39Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"M. Bulíček and J. Málek acknowledge the support of the project No. 18-12719S financed by the Czech\r\nScience foundation (GAČR). E. Maringová acknowledges support from Charles University Research program \r\nUNCE/SCI/023, the grant SVV-2020-260583 by the Ministry of Education, Youth and Sports, Czech Republic\r\nand from the Austrian Science Fund (FWF), grants P30000, W1245, and F65. M. Bulíček and J. Málek are\r\nmembers of the Nečas Center for Mathematical Modelling.\r\n","keyword":["Nonlinear parabolic systems","implicit constitutive theory","weak solutions","existence","uniqueness"],"scopus_import":"1","date_published":"2021-08-25T00:00:00Z","arxiv":1,"month":"08","publication":"Mathematical Models and Methods in Applied Sciences","project":[{"grant_number":"F6504","_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2","name":"Taming Complexity in Partial Differential Systems"}],"external_id":{"arxiv":["2009.06917"],"isi":["000722222900004"]},"year":"2021","_id":"10005","issue":"09","intvolume":"        31","publication_identifier":{"eissn":["1793-6314"],"issn":["0218-2025"]},"publication_status":"published","doi":"10.1142/S0218202521500457","type":"journal_article","isi":1,"article_type":"original","fulldoi":"https://doi.org/10.1142/S0218202521500457","quality_controlled":"1","article_processing_charge":"No"},{"doi":"10.1609/aaai.v35i5.16496","type":"conference","publication_status":"published","related_material":{"record":[{"id":"11362","status":"public","relation":"dissertation_contains"}]},"alternative_title":["Technical Tracks"],"publication_identifier":{"isbn":["978-1-57735-866-4"],"issn":["2159-5399"],"eissn":["2374-3468"]},"_id":"10665","issue":"5A","intvolume":"        35","article_processing_charge":"No","has_accepted_license":"1","quality_controlled":"1","file_date_updated":"2022-01-26T07:41:16Z","fulldoi":"https://doi.org/10.1609/aaai.v35i5.16496","corr_author":"1","title":"Scalable verification of quantized neural networks","status":"public","date_updated":"2026-08-19T09:28:05Z","volume":35,"oa_version":"Published Version","ddc":["000"],"oa":1,"abstract":[{"lang":"eng","text":"Formal verification of neural networks is an active topic of research, and recent advances have significantly increased the size of the networks that verification tools can handle. However, most methods are designed for verification of an idealized model of the actual network which works over real arithmetic and ignores rounding imprecisions. This idealization is in stark contrast to network quantization, which is a technique that trades numerical precision for computational efficiency and is, therefore, often applied in practice. Neglecting rounding errors of such low-bit quantized neural networks has been shown to lead to wrong conclusions about the network’s correctness. Thus, the desired approach for verifying quantized neural networks would be one that takes these rounding errors\r\ninto account. In this paper, we show that verifying the bitexact implementation of quantized neural networks with bitvector specifications is PSPACE-hard, even though verifying idealized real-valued networks and satisfiability of bit-vector specifications alone are each in NP. Furthermore, we explore several practical heuristics toward closing the complexity gap between idealized and bit-exact verification. In particular, we propose three techniques for making SMT-based verification of quantized neural networks more scalable. Our experiments demonstrate that our proposed methods allow a speedup of up to three orders of magnitude over existing approaches."}],"department":[{"_id":"GradSch"},{"_id":"ToHe"}],"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/16496"}],"citation":{"ieee":"T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.","apa":"Henzinger, T. A., Lechner, M., &#38; Zikelic, D. (2021). Scalable verification of quantized neural networks. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 3787–3795). Virtual: AAAI Press. <a href=\"https://doi.org/10.1609/aaai.v35i5.16496\">https://doi.org/10.1609/aaai.v35i5.16496</a>","chicago":"Henzinger, Thomas A, Mathias Lechner, and Dorde Zikelic. “Scalable Verification of Quantized Neural Networks.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:3787–95. AAAI Press, 2021. <a href=\"https://doi.org/10.1609/aaai.v35i5.16496\">https://doi.org/10.1609/aaai.v35i5.16496</a>.","ama":"Henzinger TA, Lechner M, Zikelic D. Scalable verification of quantized neural networks. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:3787-3795. doi:<a href=\"https://doi.org/10.1609/aaai.v35i5.16496\">10.1609/aaai.v35i5.16496</a>","short":"T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.","ista":"Henzinger TA, Lechner M, Zikelic D. 2021. Scalable verification of quantized neural networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 3787–3795.","mla":"Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95, doi:<a href=\"https://doi.org/10.1609/aaai.v35i5.16496\">10.1609/aaai.v35i5.16496</a>."},"author":[{"full_name":"Henzinger, Thomas A","orcid":"0000-0002-2985-7724","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","last_name":"Henzinger","first_name":"Thomas A"},{"last_name":"Lechner","first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias"},{"full_name":"Zikelic, Dorde","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4681-1699","last_name":"Zikelic","first_name":"Dorde"}],"publisher":"AAAI Press","day":"28","date_created":"2022-01-25T15:15:02Z","year":"2021","ec_funded":1,"file":[{"file_id":"10684","creator":"mlechner","file_size":137235,"date_updated":"2022-01-26T07:41:16Z","content_type":"application/pdf","relation":"main_file","file_name":"16496-Article Text-19990-1-2-20210518 (1).pdf","checksum":"2bc8155b2526a70fba5b7301bc89dbd1","success":1,"date_created":"2022-01-26T07:41:16Z","access_level":"open_access"}],"publication":"Proceedings of the AAAI Conference on Artificial Intelligence","external_id":{"arxiv":["2012.08185"]},"project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"Formal methods for the design and analysis of complex systems","call_identifier":"FWF"},{"_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","grant_number":"863818","call_identifier":"H2020","name":"Formal Methods for Stochastic Models: Algorithms and Applications"}],"conference":{"end_date":"2021-02-09","name":"AAAI: Association for the Advancement of Artificial Intelligence","start_date":"2021-02-02","location":"Virtual"},"page":"3787-3795","acknowledgement":"This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein\r\nAward), ERC CoG 863818 (FoRM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.\r\n","scopus_import":"1","date_published":"2021-05-28T00:00:00Z","arxiv":1,"month":"05","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"fulldoi":"https://doi.org/10.1609/aaai.v35i9.16936","corr_author":"1","article_processing_charge":"No","file_date_updated":"2022-01-26T07:36:03Z","quality_controlled":"1","has_accepted_license":"1","publication_identifier":{"eissn":["2374-3468"],"issn":["2159-5399"],"isbn":["978-1-57735-866-4"]},"intvolume":"        35","issue":"9","_id":"10671","type":"conference","doi":"10.1609/aaai.v35i9.16936","alternative_title":["Technical Tracks"],"publication_status":"published","date_published":"2021-05-28T00:00:00Z","month":"05","arxiv":1,"acknowledgement":"R.H. and D.R. are partially supported by Boeing. R.H. and R.G. were partially supported by the Horizon-2020 ECSEL\r\nProject grant No. 783163 (iDev40). M.L. was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). A.A. is supported by the National Science Foundation (NSF) Graduate Research Fellowship Program. This research work is partially drawn from the PhD dissertation of R.H.","page":"7657-7666","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2021","conference":{"end_date":"2021-02-09","start_date":"2021-02-02","name":"AAAI: Association for the Advancement of Artificial Intelligence","location":"Virtual"},"project":[{"grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Formal methods for the design and analysis of complex systems"}],"external_id":{"arxiv":["2006.04439"]},"file":[{"checksum":"0f06995fba06dbcfa7ed965fc66027ff","access_level":"open_access","success":1,"date_created":"2022-01-26T07:36:03Z","relation":"main_file","content_type":"application/pdf","file_name":"16936-Article Text-20430-1-2-20210518 (1).pdf","file_id":"10678","creator":"mlechner","date_updated":"2022-01-26T07:36:03Z","file_size":4302669}],"publication":"Proceedings of the AAAI Conference on Artificial Intelligence","language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"ToHe"}],"abstract":[{"lang":"eng","text":"We introduce a new class of time-continuous recurrent neural network models. Instead of declaring a learning system’s dynamics by implicit nonlinearities, we construct networks of linear first-order dynamical systems modulated via nonlinear interlinked gates. The resulting models represent dynamical systems with varying (i.e., liquid) time-constants coupled to their hidden state, with outputs being computed by numerical differential equation solvers. These neural networks exhibit stable and bounded behavior, yield superior expressivity within the family of neural ordinary differential equations, and give rise to improved performance on time-series prediction tasks. To demonstrate these properties, we first take a theoretical approach to find bounds over their dynamics, and compute their expressive power by the trajectory length measure in a latent trajectory space. We then conduct a series of time-series prediction experiments to manifest the approximation capability of Liquid Time-Constant Networks (LTCs) compared to classical and modern RNNs."}],"oa":1,"date_created":"2022-01-25T15:48:36Z","day":"28","publisher":"AAAI Press","citation":{"ieee":"R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 9, pp. 7657–7666.","apa":"Hasani, R., Lechner, M., Amini, A., Rus, D., &#38; Grosu, R. (2021). Liquid time-constant networks. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 7657–7666). Virtual: AAAI Press. <a href=\"https://doi.org/10.1609/aaai.v35i9.16936\">https://doi.org/10.1609/aaai.v35i9.16936</a>","mla":"Hasani, Ramin, et al. “Liquid Time-Constant Networks.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 9, AAAI Press, 2021, pp. 7657–66, doi:<a href=\"https://doi.org/10.1609/aaai.v35i9.16936\">10.1609/aaai.v35i9.16936</a>.","ista":"Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2021. Liquid time-constant networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 7657–7666.","ama":"Hasani R, Lechner M, Amini A, Rus D, Grosu R. Liquid time-constant networks. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:7657-7666. doi:<a href=\"https://doi.org/10.1609/aaai.v35i9.16936\">10.1609/aaai.v35i9.16936</a>","chicago":"Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “Liquid Time-Constant Networks.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:7657–66. AAAI Press, 2021. <a href=\"https://doi.org/10.1609/aaai.v35i9.16936\">https://doi.org/10.1609/aaai.v35i9.16936</a>.","short":"R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 7657–7666."},"author":[{"last_name":"Hasani","first_name":"Ramin","full_name":"Hasani, Ramin"},{"full_name":"Lechner, Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","last_name":"Lechner","first_name":"Mathias"},{"full_name":"Amini, Alexander","last_name":"Amini","first_name":"Alexander"},{"full_name":"Rus, Daniela","first_name":"Daniela","last_name":"Rus"},{"first_name":"Radu","last_name":"Grosu","full_name":"Grosu, Radu"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/16936"}],"date_updated":"2026-08-19T09:24:30Z","volume":35,"title":"Liquid time-constant networks","status":"public","ddc":["000"],"oa_version":"Published Version"},{"status":"public","title":"Asynchronous optimization methods for efficient training of deep neural networks with guarantees","volume":35,"date_updated":"2026-08-19T09:25:06Z","oa_version":"Preprint","oa":1,"abstract":[{"lang":"eng","text":"Asynchronous distributed algorithms are a popular way to reduce synchronization costs in large-scale optimization, and in particular for neural network training. However, for nonsmooth and nonconvex objectives, few convergence guarantees exist beyond cases where closed-form proximal operator solutions are available. As training most popular deep neural networks corresponds to optimizing nonsmooth and nonconvex objectives, there is a pressing need for such convergence guarantees. In this paper, we analyze for the first time the convergence of stochastic asynchronous optimization for this general class of objectives. In particular, we focus on stochastic subgradient methods allowing for block variable partitioning, where the shared model is asynchronously updated by concurrent processes. To this end, we use a probabilistic model which captures key features of real asynchronous scheduling between concurrent processes. Under this model, we establish convergence with probability one to an invariant set for stochastic subgradient methods with momentum. From a practical perspective, one issue with the family of algorithms that we consider is that they are not efficiently supported by machine learning frameworks, which mostly focus on distributed data-parallel strategies. To address this, we propose a new implementation strategy for shared-memory based training of deep neural networks for a partitioned but shared model in single- and multi-GPU settings. Based on this implementation, we achieve on average1.2x speed-up in comparison to state-of-the-art training methods for popular image classification tasks, without compromising accuracy."}],"department":[{"_id":"DaAl"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":" https://doi.org/10.48550/arXiv.1905.11845","open_access":"1"}],"publisher":"AAAI Press","citation":{"apa":"Kungurtsev, V., Egan, M., Chatterjee, B., &#38; Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In <i>35th AAAI Conference on Artificial Intelligence, AAAI 2021</i> (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press. <a href=\"https://doi.org/10.1609/aaai.v35i9.16999\">https://doi.org/10.1609/aaai.v35i9.16999</a>","ieee":"V. Kungurtsev, M. Egan, B. Chatterjee, and D.-A. Alistarh, “Asynchronous optimization methods for efficient training of deep neural networks with guarantees,” in <i>35th AAAI Conference on Artificial Intelligence, AAAI 2021</i>, Virtual, Online, 2021, vol. 35, no. 9B, pp. 8209–8216.","ista":"Kungurtsev V, Egan M, Chatterjee B, Alistarh D-A. 2021. Asynchronous optimization methods for efficient training of deep neural networks with guarantees. 35th AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI: Conference on Artificial Intelligence vol. 35, 8209–8216.","mla":"Kungurtsev, Vyacheslav, et al. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” <i>35th AAAI Conference on Artificial Intelligence, AAAI 2021</i>, vol. 35, no. 9B, AAAI Press, 2021, pp. 8209–16, doi:<a href=\"https://doi.org/10.1609/aaai.v35i9.16999\">10.1609/aaai.v35i9.16999</a>.","short":"V. Kungurtsev, M. Egan, B. Chatterjee, D.-A. Alistarh, in:, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, AAAI Press, 2021, pp. 8209–8216.","chicago":"Kungurtsev, Vyacheslav, Malcolm Egan, Bapi Chatterjee, and Dan-Adrian Alistarh. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” In <i>35th AAAI Conference on Artificial Intelligence, AAAI 2021</i>, 35:8209–16. AAAI Press, 2021. <a href=\"https://doi.org/10.1609/aaai.v35i9.16999\">https://doi.org/10.1609/aaai.v35i9.16999</a>.","ama":"Kungurtsev V, Egan M, Chatterjee B, Alistarh D-A. Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In: <i>35th AAAI Conference on Artificial Intelligence, AAAI 2021</i>. Vol 35. AAAI Press; 2021:8209-8216. doi:<a href=\"https://doi.org/10.1609/aaai.v35i9.16999\">10.1609/aaai.v35i9.16999</a>"},"author":[{"last_name":"Kungurtsev","first_name":"Vyacheslav","full_name":"Kungurtsev, Vyacheslav"},{"first_name":"Malcolm","last_name":"Egan","full_name":"Egan, Malcolm"},{"last_name":"Chatterjee","first_name":"Bapi","id":"3C41A08A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2742-4028","full_name":"Chatterjee, Bapi"},{"last_name":"Alistarh","first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"}],"day":"18","date_created":"2022-06-05T22:01:52Z","year":"2021","ec_funded":1,"publication":"35th AAAI Conference on Artificial Intelligence, AAAI 2021","external_id":{"arxiv":["1905.11845"]},"project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships"},{"call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"conference":{"end_date":"2021-02-09","name":"AAAI: Conference on Artificial Intelligence","start_date":"2021-02-02","location":"Virtual, Online"},"page":"8209-8216","acknowledgement":"Vyacheslav Kungurtsev was supported by the OP VVV project CZ.02.1.01/0.0/0.0/16 019/0000765 “Research Center for Informatics. Bapi Chatterjee was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 754411 (ISTPlus). Dan Alistarh has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML).","scopus_import":"1","date_published":"2021-05-18T00:00:00Z","month":"05","arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1609/aaai.v35i9.16999","type":"conference","publication_status":"published","publication_identifier":{"isbn":["9781713835974"],"eissn":["2374-3468"],"issn":["2159-5399"]},"_id":"11436","issue":"9B","intvolume":"        35","article_processing_charge":"No","quality_controlled":"1","fulldoi":"https://doi.org/10.1609/aaai.v35i9.16999"},{"year":"2021","publication":"Proceedings of the AAAI Conference on Artificial Intelligence","file":[{"checksum":"468d07041e282a1d46ffdae92f709630","access_level":"open_access","date_created":"2022-01-26T07:38:08Z","success":1,"relation":"main_file","content_type":"application/pdf","file_name":"17372-Article Text-20866-1-2-20210518.pdf","file_id":"10680","creator":"mlechner","date_updated":"2022-01-26T07:38:08Z","file_size":286906}],"project":[{"name":"Formal methods for the design and analysis of complex systems","call_identifier":"FWF","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}],"external_id":{"arxiv":["2012.08863"]},"conference":{"end_date":"2021-02-09","name":"AAAI: Association for the Advancement of Artificial Intelligence","start_date":"2021-02-02","location":"Virtual"},"page":"11525-11535","acknowledgement":"The authors would like to thank the reviewers for their insightful comments. RH and RG were partially supported by\r\nHorizon-2020 ECSEL Project grant No. 783163 (iDev40). RH was partially supported by Boeing. ML was supported\r\nin part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). SG was funded by FWF\r\nproject W1255-N23. JC was partially supported by NAWA Polish Returns grant PPN/PPO/2018/1/00029. SS was supported by NSF awards DCL-2040599, CCF-1918225, and CPS-1446832.\r\n","month":"05","date_published":"2021-05-28T00:00:00Z","arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"On the verification of neural ODEs with stochastic guarantees","status":"public","volume":35,"date_updated":"2026-08-19T09:29:48Z","oa_version":"Published Version","ddc":["000"],"oa":1,"abstract":[{"text":"We show that Neural ODEs, an emerging class of timecontinuous neural networks, can be verified by solving a set of global-optimization problems. For this purpose, we introduce Stochastic Lagrangian Reachability (SLR), an\r\nabstraction-based technique for constructing a tight Reachtube (an over-approximation of the set of reachable states\r\nover a given time-horizon), and provide stochastic guarantees in the form of confidence intervals for the Reachtube bounds. SLR inherently avoids the infamous wrapping effect (accumulation of over-approximation errors) by performing local optimization steps to expand safe regions instead of repeatedly forward-propagating them as is done by deterministic reachability methods. To enable fast local optimizations, we introduce a novel forward-mode adjoint sensitivity method to compute gradients without the need for backpropagation. Finally, we establish asymptotic and non-asymptotic convergence rates for SLR.","lang":"eng"}],"department":[{"_id":"GradSch"},{"_id":"ToHe"}],"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/17372"}],"author":[{"full_name":"Grunbacher, Sophie","first_name":"Sophie","last_name":"Grunbacher"},{"last_name":"Hasani","first_name":"Ramin","full_name":"Hasani, Ramin"},{"id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias","last_name":"Lechner","first_name":"Mathias"},{"last_name":"Cyranka","first_name":"Jacek","full_name":"Cyranka, Jacek"},{"full_name":"Smolka, Scott A","last_name":"Smolka","first_name":"Scott A"},{"last_name":"Grosu","first_name":"Radu","full_name":"Grosu, Radu"}],"citation":{"mla":"Grunbacher, Sophie, et al. “On the Verification of Neural ODEs with Stochastic Guarantees.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 13, AAAI Press, 2021, pp. 11525–35, doi:<a href=\"https://doi.org/10.1609/aaai.v35i13.17372\">10.1609/aaai.v35i13.17372</a>.","ista":"Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. 2021. On the verification of neural ODEs with stochastic guarantees. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 11525–11535.","chicago":"Grunbacher, Sophie, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A Smolka, and Radu Grosu. “On the Verification of Neural ODEs with Stochastic Guarantees.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:11525–35. AAAI Press, 2021. <a href=\"https://doi.org/10.1609/aaai.v35i13.17372\">https://doi.org/10.1609/aaai.v35i13.17372</a>.","ama":"Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. On the verification of neural ODEs with stochastic guarantees. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:11525-11535. doi:<a href=\"https://doi.org/10.1609/aaai.v35i13.17372\">10.1609/aaai.v35i13.17372</a>","short":"S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S.A. Smolka, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 11525–11535.","ieee":"S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S. A. Smolka, and R. Grosu, “On the verification of neural ODEs with stochastic guarantees,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535.","apa":"Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., &#38; Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 11525–11535). Virtual: AAAI Press. <a href=\"https://doi.org/10.1609/aaai.v35i13.17372\">https://doi.org/10.1609/aaai.v35i13.17372</a>"},"publisher":"AAAI Press","day":"28","date_created":"2022-01-25T15:47:20Z","article_processing_charge":"No","has_accepted_license":"1","quality_controlled":"1","file_date_updated":"2022-01-26T07:38:08Z","fulldoi":"https://doi.org/10.1609/aaai.v35i13.17372","corr_author":"1","doi":"10.1609/aaai.v35i13.17372","type":"conference","publication_status":"published","alternative_title":["Technical Tracks"],"publication_identifier":{"isbn":["978-1-57735-866-4"],"eissn":["2374-3468"],"issn":["2159-5399"]},"_id":"10669","issue":"13","intvolume":"        35"},{"year":"2021","ec_funded":1,"file":[{"relation":"main_file","content_type":"application/pdf","file_name":"Thesis_Final_09_12_2021.pdf","file_id":"10436","creator":"gnadirad","file_size":2370859,"date_updated":"2021-12-09T17:47:49Z","checksum":"6bf14e9a523387328f016c0689f5e10e","access_level":"open_access","success":1,"date_created":"2021-12-09T17:47:49Z"},{"date_created":"2021-12-09T17:47:49Z","access_level":"closed","checksum":"914d6c5ca86bd0add471971a8f4c4341","file_name":"Thesis_Final_09_12_2021.zip","content_type":"application/zip","relation":"source_file","file_size":2596924,"date_updated":"2022-03-28T12:55:12Z","creator":"gnadirad","file_id":"10437"}],"project":[{"call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"page":"132","supervisor":[{"full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","first_name":"Dan-Adrian"}],"date_published":"2021-12-09T00:00:00Z","month":"12","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"On achieving scalability through relaxation","status":"public","date_updated":"2026-08-19T09:30:23Z","degree_awarded":"PhD","oa_version":"Published Version","ddc":["000"],"OA_place":"publisher","oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"DaAl"}],"abstract":[{"text":"The scalability of concurrent data structures and distributed algorithms strongly depends on\r\nreducing the contention for shared resources and the costs of synchronization and communication. We show how such cost reductions can be attained by relaxing the strict consistency conditions required by sequential implementations. In the first part of the thesis, we consider relaxation in the context of concurrent data structures. Specifically, in data structures \r\nsuch as priority queues, imposing strong semantics renders scalability impossible, since a correct implementation of the remove operation should return only the element with highest priority. Intuitively, attempting to invoke remove operations concurrently  creates a race condition. This bottleneck  can be circumvented by relaxing semantics of the affected data structure, thus allowing removal of the elements which are no longer required to have the highest priority. We prove that the randomized implementations of relaxed data structures provide provable guarantees on the priority of the removed elements even under concurrency. Additionally, we show that in some cases the relaxed data structures can be used to scale the classical algorithms which are usually implemented with the exact ones. In the second part, we study parallel variants of the  stochastic gradient descent (SGD) algorithm, which distribute computation  among the multiple processors, thus reducing the running time. Unfortunately, in order for standard parallel SGD to succeed, each processor has to maintain a local copy of the necessary model parameter, which is identical to the local copies of other processors; the overheads from this perfect consistency in terms of communication and synchronization can negate the speedup gained by distributing the computation. We show that the consistency conditions required by SGD can be  relaxed, allowing the algorithm to be more flexible in terms of tolerating quantized communication, asynchrony, or even crash faults, while its convergence remains asymptotically the same.","lang":"eng"}],"author":[{"last_name":"Nadiradze","first_name":"Giorgi","full_name":"Nadiradze, Giorgi","id":"3279A00C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5634-0731"}],"citation":{"mla":"Nadiradze, Giorgi. <i>On Achieving Scalability through Relaxation</i>. Institute of Science and Technology Austria, 2021, doi:<a href=\"https://doi.org/10.15479/at:ista:10429\">10.15479/at:ista:10429</a>.","ista":"Nadiradze G. 2021. On achieving scalability through relaxation. Institute of Science and Technology Austria.","ama":"Nadiradze G. On achieving scalability through relaxation. 2021. doi:<a href=\"https://doi.org/10.15479/at:ista:10429\">10.15479/at:ista:10429</a>","chicago":"Nadiradze, Giorgi. “On Achieving Scalability through Relaxation.” Institute of Science and Technology Austria, 2021. <a href=\"https://doi.org/10.15479/at:ista:10429\">https://doi.org/10.15479/at:ista:10429</a>.","short":"G. Nadiradze, On Achieving Scalability through Relaxation, Institute of Science and Technology Austria, 2021.","ieee":"G. Nadiradze, “On achieving scalability through relaxation,” Institute of Science and Technology Austria, 2021.","apa":"Nadiradze, G. (2021). <i>On achieving scalability through relaxation</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:10429\">https://doi.org/10.15479/at:ista:10429</a>"},"publisher":"Institute of Science and Technology Austria","date_created":"2021-12-08T21:52:28Z","day":"09","article_processing_charge":"No","has_accepted_license":"1","file_date_updated":"2022-03-28T12:55:12Z","fulldoi":"https://doi.org/10.15479/at:ista:10429","corr_author":"1","doi":"10.15479/at:ista:10429","type":"dissertation","publication_status":"published","alternative_title":["ISTA Thesis"],"related_material":{"record":[{"relation":"part_of_dissertation","id":"6673","status":"public"},{"relation":"part_of_dissertation","status":"public","id":"5965"},{"status":"public","id":"10435","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"10432","status":"public"}]},"publication_identifier":{"issn":["2663-337X"]},"_id":"10429"},{"publication":"Proceedings of the AAAI Conference on Artificial Intelligence","conference":{"end_date":"2021-02-09","start_date":"2021-02-02","name":"AAAI: Association for the Advancement of Artificial Intelligence","location":"Virtual"},"project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020"},{"grant_number":"805223","_id":"268A44D6-B435-11E9-9278-68D0E5697425","name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020"}],"external_id":{"arxiv":["2001.05918"]},"year":"2021","ec_funded":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"9037-9045","arxiv":1,"date_published":"2021-05-18T00:00:00Z","month":"05","acknowledgement":"We would like to thank Christopher De Sa for his feedback on an earlier draft of this paper, as well as the anonymous AAAI reviewers for their useful comments. This project has received\r\nfunding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). Bapi\r\nChatterjee was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 754411 (ISTPlus).","oa_version":"Published Version","ddc":["000"],"title":"Elastic consistency: A practical consistency model for distributed stochastic gradient descent","status":"public","volume":35,"date_updated":"2026-08-19T09:30:23Z","citation":{"chicago":"Nadiradze, Giorgi, Ilia Markov, Bapi Chatterjee, Vyacheslav  Kungurtsev, and Dan-Adrian Alistarh. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:9037–45, 2021. <a href=\"https://doi.org/10.1609/aaai.v35i10.17092\">https://doi.org/10.1609/aaai.v35i10.17092</a>.","ama":"Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. ; 2021:9037-9045. doi:<a href=\"https://doi.org/10.1609/aaai.v35i10.17092\">10.1609/aaai.v35i10.17092</a>","short":"G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.","mla":"Nadiradze, Giorgi, et al. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 10, 2021, pp. 9037–45, doi:<a href=\"https://doi.org/10.1609/aaai.v35i10.17092\">10.1609/aaai.v35i10.17092</a>.","ista":"Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. 2021. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence vol. 35, 9037–9045.","apa":"Nadiradze, G., Markov, I., Chatterjee, B., Kungurtsev, V., &#38; Alistarh, D.-A. (2021). Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 9037–9045). Virtual. <a href=\"https://doi.org/10.1609/aaai.v35i10.17092\">https://doi.org/10.1609/aaai.v35i10.17092</a>","ieee":"G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, and D.-A. Alistarh, “Elastic consistency: A practical consistency model for distributed stochastic gradient descent,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 10, pp. 9037–9045."},"author":[{"full_name":"Nadiradze, Giorgi","id":"3279A00C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5634-0731","first_name":"Giorgi","last_name":"Nadiradze"},{"last_name":"Markov","first_name":"Ilia","full_name":"Markov, Ilia","id":"D0CF4148-C985-11E9-8066-0BDEE5697425"},{"full_name":"Chatterjee, Bapi","id":"3C41A08A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2742-4028","last_name":"Chatterjee","first_name":"Bapi"},{"first_name":"Vyacheslav ","last_name":"Kungurtsev","full_name":"Kungurtsev, Vyacheslav "},{"first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/17092"}],"date_created":"2021-12-09T09:21:35Z","day":"18","oa":1,"department":[{"_id":"DaAl"}],"language":[{"iso":"eng"}],"abstract":[{"text":"One key element behind the recent progress of machine learning has been the ability to train machine learning models in large-scale distributed shared-memory and message-passing environments. Most of these models are trained employing variants of stochastic gradient descent (SGD) based optimization, but most methods involve some type of consistency relaxation relative to sequential SGD, to mitigate its large communication or synchronization costs at scale. In this paper, we introduce a general consistency condition covering communication-reduced and asynchronous distributed SGD implementations. Our framework, called elastic consistency, decouples the system-specific aspects of the implementation from the SGD convergence requirements, giving a general way to obtain convergence bounds for a wide variety of distributed SGD methods used in practice. Elastic consistency can be used to re-derive or improve several previous convergence bounds in message-passing and shared-memory settings, but also to analyze new models and distribution schemes. As a direct application, we propose and analyze a new synchronization-avoiding scheduling scheme for distributed SGD, and show that it can be used to efficiently train deep convolutional models for image classification.","lang":"eng"}],"quality_controlled":"1","article_processing_charge":"No","fulldoi":"https://doi.org/10.1609/aaai.v35i10.17092","publication_status":"published","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"10429"}]},"doi":"10.1609/aaai.v35i10.17092","type":"conference","issue":"10","_id":"10432","intvolume":"        35"},{"das_tickbox":"0","article_processing_charge":"No","corr_author":"1","researchdata_availability":"no","fulldoi":"https://doi.org/10.48550/arXiv.2104.14946","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"12072"},{"relation":"later_version","id":"17058","status":"public"}]},"publication_status":"draft","type":"preprint","doi":"10.48550/arXiv.2104.14946","article_number":"2104.14946","_id":"12077","external_id":{"arxiv":["2104.14946"]},"publication":"arXiv","year":"2021","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","month":"04","date_published":"2021-04-30T00:00:00Z","arxiv":1,"acknowledgement":"The author would like to thank Damaris Schindler and Florian Wilsch for their helpful comments on the heights and Tamagawa measures used in Section 3, together with Marta Pieropan, Sho Tanimoto and Sam Streeter for providing valuable feedback on an earlier version of this paper, and Tim Browning for many useful comments and discussions during the development of this work. The author is also grateful to the anonymous referee for providing many valuable comments and suggestions that improved the quality of the paper.","oa_version":"Preprint","date_updated":"2026-08-19T12:54:58Z","status":"public","title":"On the leading constant in the Manin-type conjecture for Campana points","date_created":"2022-09-09T10:43:17Z","day":"30","author":[{"first_name":"Alec L","last_name":"Shute","full_name":"Shute, Alec L","orcid":"0000-0002-1812-2810","id":"440EB050-F248-11E8-B48F-1D18A9856A87"}],"citation":{"mla":"Shute, Alec L. “On the Leading Constant in the Manin-Type Conjecture for Campana Points.” <i>ArXiv</i>, 2104.14946, doi:<a href=\"https://doi.org/10.48550/arXiv.2104.14946\">10.48550/arXiv.2104.14946</a>.","ista":"Shute AL. On the leading constant in the Manin-type conjecture for Campana points. arXiv, 2104.14946.","chicago":"Shute, Alec L. “On the Leading Constant in the Manin-Type Conjecture for Campana Points.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2104.14946\">https://doi.org/10.48550/arXiv.2104.14946</a>.","short":"A.L. Shute, ArXiv (n.d.).","ama":"Shute AL. On the leading constant in the Manin-type conjecture for Campana points. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2104.14946\">10.48550/arXiv.2104.14946</a>","apa":"Shute, A. L. (n.d.). On the leading constant in the Manin-type conjecture for Campana points. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2104.14946\">https://doi.org/10.48550/arXiv.2104.14946</a>","ieee":"A. L. Shute, “On the leading constant in the Manin-type conjecture for Campana points,” <i>arXiv</i>. ."},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2104.14946","open_access":"1"}],"department":[{"_id":"TiBr"}],"language":[{"iso":"eng"}],"abstract":[{"text":"We compare the Manin-type conjecture for Campana points recently formulated\r\nby Pieropan, Smeets, Tanimoto and V\\'{a}rilly-Alvarado with an alternative\r\nprediction of Browning and Van Valckenborgh in the special case of the orbifold\r\n$(\\mathbb{P}^1,D)$, where $D =\\frac{1}{2}[0]+\\frac{1}{2}[1]+\\frac{1}{2}[\\infty]$. We find that the two predicted leading constants do not agree, and we discuss whether thin sets\r\ncould explain this discrepancy. Motivated by this, we provide a counterexample\r\nto the Manin-type conjecture for Campana points, by considering orbifolds\r\ncorresponding to squareful values of binary quadratic forms.","lang":"eng"}],"oa":1,"supplementarymaterial":"no"},{"acknowledgement":"We thank the referees for improving this Letter with their comments. We acknowledge stimulating discussions with\r\nH. Edelsbrunner. This work was supported by Grant No. 662960 from the Simons Foundation (B. H.). The numerical calculations were performed at TUBITAK ULAKBIM High Performance and Grid Computing Center (TRUBA resources) and IST Austria High Performance Computing cluster.","scopus_import":"1","arxiv":1,"month":"06","date_published":"2021-06-18T00:00:00Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","year":"2021","publication":"Physical Review Letters","project":[{"name":"Revisiting the Turbulence Problem Using Statistical Mechanics","grant_number":"662960","_id":"238598C6-32DE-11EA-91FC-C7463DDC885E"}],"external_id":{"arxiv":["2007.02584"],"isi":["000663310100008"]},"oa":1,"abstract":[{"text":"We show that turbulent dynamics that arise in simulations of the three-dimensional Navier--Stokes equations in a triply-periodic domain under sinusoidal forcing can be described as transient visits to the neighborhoods of unstable time-periodic solutions. Based on this description, we reduce the original system with more than 10^5 degrees of freedom to a 17-node Markov chain where each node corresponds to the neighborhood of a periodic orbit. The model accurately reproduces long-term averages of the system's observables as weighted sums over the periodic orbits.\r\n","lang":"eng"}],"language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"BjHo"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2007.02584"}],"publisher":"American Physical Society","author":[{"orcid":"0000-0002-8490-9312","id":"66E74FA2-D8BF-11E9-8249-8DE2E5697425","full_name":"Yalniz, Gökhan","last_name":"Yalniz","first_name":"Gökhan"},{"orcid":"0000-0003-2057-2754","id":"3A374330-F248-11E8-B48F-1D18A9856A87","full_name":"Hof, Björn","last_name":"Hof","first_name":"Björn"},{"full_name":"Budanur, Nazmi B","orcid":"0000-0003-0423-5010","id":"3EA1010E-F248-11E8-B48F-1D18A9856A87","first_name":"Nazmi B","last_name":"Budanur"}],"citation":{"ieee":"G. Yalniz, B. Hof, and N. B. Budanur, “Coarse graining the state space of a turbulent flow using periodic orbits,” <i>Physical Review Letters</i>, vol. 126, no. 24. American Physical Society, 2021.","apa":"Yalniz, G., Hof, B., &#38; Budanur, N. B. (2021). Coarse graining the state space of a turbulent flow using periodic orbits. <i>Physical Review Letters</i>. American Physical Society. <a href=\"https://doi.org/10.1103/PhysRevLett.126.244502\">https://doi.org/10.1103/PhysRevLett.126.244502</a>","ama":"Yalniz G, Hof B, Budanur NB. Coarse graining the state space of a turbulent flow using periodic orbits. <i>Physical Review Letters</i>. 2021;126(24). doi:<a href=\"https://doi.org/10.1103/PhysRevLett.126.244502\">10.1103/PhysRevLett.126.244502</a>","chicago":"Yalniz, Gökhan, Björn Hof, and Nazmi B Budanur. “Coarse Graining the State Space of a Turbulent Flow Using Periodic Orbits.” <i>Physical Review Letters</i>. American Physical Society, 2021. <a href=\"https://doi.org/10.1103/PhysRevLett.126.244502\">https://doi.org/10.1103/PhysRevLett.126.244502</a>.","short":"G. Yalniz, B. Hof, N.B. Budanur, Physical Review Letters 126 (2021).","mla":"Yalniz, Gökhan, et al. “Coarse Graining the State Space of a Turbulent Flow Using Periodic Orbits.” <i>Physical Review Letters</i>, vol. 126, no. 24, 244502, American Physical Society, 2021, doi:<a href=\"https://doi.org/10.1103/PhysRevLett.126.244502\">10.1103/PhysRevLett.126.244502</a>.","ista":"Yalniz G, Hof B, Budanur NB. 2021. Coarse graining the state space of a turbulent flow using periodic orbits. Physical Review Letters. 126(24), 244502."},"day":"18","date_created":"2021-06-16T15:45:36Z","title":"Coarse graining the state space of a turbulent flow using periodic orbits","status":"public","volume":126,"date_updated":"2026-09-02T08:16:31Z","oa_version":"Preprint","acknowledged_ssus":[{"_id":"ScienComp"}],"article_type":"letter_note","fulldoi":"https://doi.org/10.1103/PhysRevLett.126.244502","corr_author":"1","isi":1,"article_processing_charge":"No","quality_controlled":"1","publication_identifier":{"issn":["0031-9007"],"eissn":["1079-7114"]},"_id":"9558","issue":"24","article_number":"244502","intvolume":"       126","doi":"10.1103/PhysRevLett.126.244502","type":"journal_article","publication_status":"published","related_material":{"link":[{"description":"News on IST Homepage","url":"https://ist.ac.at/en/news/turbulent-flow-simplified/","relation":"press_release"}],"record":[{"relation":"popular_science","id":"19591","status":"returned"},{"status":"public","id":"19684","relation":"dissertation_contains"}]}},{"publication":"19th International Conference","project":[{"call_identifier":"H2020","name":"Teaching Old Crypto New Tricks","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","grant_number":"682815"},{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"}],"external_id":{"isi":["000728363700008"]},"conference":{"end_date":"2021-11-11","start_date":"2021-11-08","name":"TCC: Theory of Cryptography","location":"Raleigh, NC, United States"},"year":"2021","ec_funded":1,"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","page":"222-253","acknowledgement":"B. Auerbach, M.A. Baig and K. Pietrzak—received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT); Karen Klein was supported in part by ERC CoG grant 724307 and conducted part of this work at IST Austria, funded by the ERC under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT); Guillermo Pascual-Perez was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385; Michael Walter conducted part of this work at IST Austria, funded by the ERC under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT).","scopus_import":"1","month":"11","date_published":"2021-11-04T00:00:00Z","oa_version":"Preprint","title":"Grafting key trees: Efficient key management for overlapping groups","status":"public","date_updated":"2026-09-07T14:12:36Z","volume":13044,"main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2021/1158"}],"author":[{"last_name":"Alwen","first_name":"Joel F","id":"2A8DFA8C-F248-11E8-B48F-1D18A9856A87","full_name":"Alwen, Joel F"},{"full_name":"Auerbach, Benedikt","id":"D33D2B18-E445-11E9-ABB7-15F4E5697425","orcid":"0000-0002-7553-6606","first_name":"Benedikt","last_name":"Auerbach"},{"first_name":"Mirza Ahad","last_name":"Baig","id":"3EDE6DE4-AA5A-11E9-986D-341CE6697425","full_name":"Baig, Mirza Ahad"},{"first_name":"Miguel","last_name":"Cueto Noval","orcid":"0000-0002-2505-4246","id":"ffc563a3-f6e0-11ea-865d-e3cce03d17cc","full_name":"Cueto Noval, Miguel"},{"id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87","full_name":"Klein, Karen","last_name":"Klein","first_name":"Karen"},{"last_name":"Pascual Perez","first_name":"Guillermo","full_name":"Pascual Perez, Guillermo","orcid":"0000-0001-8630-415X","id":"2D7ABD02-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Pietrzak","first_name":"Krzysztof Z","full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9139-1654"},{"last_name":"Walter","first_name":"Michael","orcid":"0000-0003-3186-2482","id":"488F98B0-F248-11E8-B48F-1D18A9856A87","full_name":"Walter, Michael"}],"publisher":"Springer Nature","citation":{"apa":"Alwen, J. F., Auerbach, B., Baig, M. A., Cueto Noval, M., Klein, K., Pascual Perez, G., … Walter, M. (2021). Grafting key trees: Efficient key management for overlapping groups. In <i>19th International Conference</i> (Vol. 13044, pp. 222–253). Raleigh, NC, United States: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-90456-2_8\">https://doi.org/10.1007/978-3-030-90456-2_8</a>","ieee":"J. F. Alwen <i>et al.</i>, “Grafting key trees: Efficient key management for overlapping groups,” in <i>19th International Conference</i>, Raleigh, NC, United States, 2021, vol. 13044, pp. 222–253.","ama":"Alwen JF, Auerbach B, Baig MA, et al. Grafting key trees: Efficient key management for overlapping groups. In: <i>19th International Conference</i>. Vol 13044. Springer Nature; 2021:222-253. doi:<a href=\"https://doi.org/10.1007/978-3-030-90456-2_8\">10.1007/978-3-030-90456-2_8</a>","short":"J.F. Alwen, B. Auerbach, M.A. Baig, M. Cueto Noval, K. Klein, G. Pascual Perez, K.Z. Pietrzak, M. Walter, in:, 19th International Conference, Springer Nature, 2021, pp. 222–253.","chicago":"Alwen, Joel F, Benedikt Auerbach, Mirza Ahad Baig, Miguel Cueto Noval, Karen Klein, Guillermo Pascual Perez, Krzysztof Z Pietrzak, and Michael Walter. “Grafting Key Trees: Efficient Key Management for Overlapping Groups.” In <i>19th International Conference</i>, 13044:222–53. Springer Nature, 2021. <a href=\"https://doi.org/10.1007/978-3-030-90456-2_8\">https://doi.org/10.1007/978-3-030-90456-2_8</a>.","ista":"Alwen JF, Auerbach B, Baig MA, Cueto Noval M, Klein K, Pascual Perez G, Pietrzak KZ, Walter M. 2021. Grafting key trees: Efficient key management for overlapping groups. 19th International Conference. TCC: Theory of Cryptography, LNCS, vol. 13044, 222–253.","mla":"Alwen, Joel F., et al. “Grafting Key Trees: Efficient Key Management for Overlapping Groups.” <i>19th International Conference</i>, vol. 13044, Springer Nature, 2021, pp. 222–53, doi:<a href=\"https://doi.org/10.1007/978-3-030-90456-2_8\">10.1007/978-3-030-90456-2_8</a>."},"day":"04","date_created":"2021-12-05T23:01:42Z","oa":1,"abstract":[{"text":"Key trees are often the best solution in terms of transmission cost and storage requirements for managing keys in a setting where a group needs to share a secret key, while being able to efficiently rotate the key material of users (in order to recover from a potential compromise, or to add or remove users). Applications include multicast encryption protocols like LKH (Logical Key Hierarchies) or group messaging like the current IETF proposal TreeKEM. A key tree is a (typically balanced) binary tree, where each node is identified with a key: leaf nodes hold users’ secret keys while the root is the shared group key. For a group of size N, each user just holds   log(N)  keys (the keys on the path from its leaf to the root) and its entire key material can be rotated by broadcasting   2log(N)  ciphertexts (encrypting each fresh key on the path under the keys of its parents). In this work we consider the natural setting where we have many groups with partially overlapping sets of users, and ask if we can find solutions where the cost of rotating a key is better than in the trivial one where we have a separate key tree for each group. We show that in an asymptotic setting (where the number m of groups is fixed while the number N of users grows) there exist more general key graphs whose cost converges to the cost of a single group, thus saving a factor linear in the number of groups over the trivial solution. As our asymptotic “solution” converges very slowly and performs poorly on concrete examples, we propose an algorithm that uses a natural heuristic to compute a key graph for any given group structure. Our algorithm combines two greedy algorithms, and is thus very efficient: it first converts the group structure into a “lattice graph”, which is then turned into a key graph by repeatedly applying the algorithm for constructing a Huffman code. To better understand how far our proposal is from an optimal solution, we prove lower bounds on the update cost of continuous group-key agreement and multicast encryption in a symbolic model admitting (asymmetric) encryption, pseudorandom generators, and secret sharing as building blocks.","lang":"eng"}],"language":[{"iso":"eng"}],"department":[{"_id":"KrPi"}],"quality_controlled":"1","article_processing_charge":"No","isi":1,"fulldoi":"https://doi.org/10.1007/978-3-030-90456-2_8","publication_status":"published","alternative_title":["LNCS"],"related_material":{"record":[{"id":"18088","status":"public","relation":"dissertation_contains"}]},"doi":"10.1007/978-3-030-90456-2_8","type":"conference","_id":"10408","intvolume":"     13044","publication_identifier":{"eisbn":["978-3-030-90456-2"],"isbn":["9-783-0309-0455-5"],"eissn":["1611-3349"],"issn":["0302-9743"]}},{"fulldoi":"https://doi.org/10.15479/at:ista:10035","corr_author":"1","article_processing_charge":"No","file_date_updated":"2022-03-10T12:15:18Z","has_accepted_license":"1","publication_identifier":{"issn":["2663-337X"]},"_id":"10035","type":"dissertation","doi":"10.15479/at:ista:10035","alternative_title":["ISTA Thesis"],"related_material":{"record":[{"relation":"part_of_dissertation","id":"637","status":"public"},{"status":"public","id":"6430","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"10044","status":"public"},{"id":"10048","status":"public","relation":"part_of_dissertation"},{"id":"10041","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"10049"}]},"publication_status":"published","month":"09","date_published":"2021-09-23T00:00:00Z","supervisor":[{"last_name":"Pietrzak","first_name":"Krzysztof Z","full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9139-1654"}],"acknowledgement":"I want to acknowledge the funding by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT).\r\n","page":"276","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","ec_funded":1,"year":"2021","project":[{"grant_number":"682815","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Teaching Old Crypto New Tricks"}],"file":[{"checksum":"73a44345c683e81f3e765efbf86fdcc5","access_level":"open_access","date_created":"2021-10-04T12:22:33Z","success":1,"file_id":"10082","creator":"cchlebak","date_updated":"2021-10-04T12:22:33Z","file_size":2104726,"relation":"main_file","content_type":"application/pdf","file_name":"thesis_pdfa.pdf"},{"checksum":"7b80df30a0e686c3ef6a56d4e1c59e29","access_level":"closed","date_created":"2021-10-05T07:04:37Z","relation":"source_file","content_type":"application/x-zip-compressed","file_name":"thesis_final (1).zip","file_id":"10085","creator":"cchlebak","file_size":9538359,"date_updated":"2022-03-10T12:15:18Z"}],"department":[{"_id":"GradSch"},{"_id":"KrPi"}],"language":[{"iso":"eng"}],"abstract":[{"text":"Many security definitions come in two flavors: a stronger “adaptive” flavor, where the adversary can arbitrarily make various choices during the course of the attack, and a weaker “selective” flavor where the adversary must commit to some or all of their choices a-priori. For example, in the context of identity-based encryption, selective security requires the adversary to decide on the identity of the attacked party at the very beginning of the game whereas adaptive security allows the attacker to first see the master public key and some secret keys before making this choice. Often, it appears to be much easier to achieve selective security than it is to achieve adaptive security. A series of several recent works shows how to cleverly achieve adaptive security in several such scenarios including generalized selective decryption [Pan07][FJP15], constrained PRFs [FKPR14], and Yao’s garbled circuits [JW16]. Although the above works expressed vague intuition that they share a common technique, the connection was never made precise. In this work we present a new framework (published at Crypto ’17 [JKK+17a]) that connects all of these works and allows us to present them in a unified and simplified fashion. Having the framework in place, we show how to achieve adaptive security for proxy re-encryption schemes (published at PKC ’19 [FKKP19]) and provide the first adaptive security proofs for continuous group key agreement protocols (published at S&P ’21 [KPW+21]). Questioning optimality of our framework, we then show that currently used proof techniques cannot lead to significantly better security guarantees for \"graph-building\" games (published at TCC ’21 [KKPW21a]). These games cover generalized selective decryption, as well as the security of prominent constructions for constrained PRFs, continuous group key agreement, and proxy re-encryption. Finally, we revisit the adaptive security of Yao’s garbled circuits and extend the analysis of Jafargholi and Wichs in two directions: While they prove adaptive security only for a modified construction with increased online complexity, we provide the first positive results for the original construction by Yao (published at TCC ’21 [KKP21a]). On the negative side, we prove that the results of Jafargholi and Wichs are essentially optimal by showing that no black-box reduction can provide a significantly better security bound (published at Crypto ’21 [KKPW21c]).","lang":"eng"}],"oa":1,"date_created":"2021-09-23T07:31:44Z","day":"23","author":[{"last_name":"Klein","first_name":"Karen","full_name":"Klein, Karen","id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87"}],"citation":{"ista":"Klein K. 2021. On the adaptive security of graph-based games. Institute of Science and Technology Austria.","mla":"Klein, Karen. <i>On the Adaptive Security of Graph-Based Games</i>. Institute of Science and Technology Austria, 2021, doi:<a href=\"https://doi.org/10.15479/at:ista:10035\">10.15479/at:ista:10035</a>.","ama":"Klein K. On the adaptive security of graph-based games. 2021. doi:<a href=\"https://doi.org/10.15479/at:ista:10035\">10.15479/at:ista:10035</a>","chicago":"Klein, Karen. “On the Adaptive Security of Graph-Based Games.” Institute of Science and Technology Austria, 2021. <a href=\"https://doi.org/10.15479/at:ista:10035\">https://doi.org/10.15479/at:ista:10035</a>.","short":"K. Klein, On the Adaptive Security of Graph-Based Games, Institute of Science and Technology Austria, 2021.","apa":"Klein, K. (2021). <i>On the adaptive security of graph-based games</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:10035\">https://doi.org/10.15479/at:ista:10035</a>","ieee":"K. Klein, “On the adaptive security of graph-based games,” Institute of Science and Technology Austria, 2021."},"publisher":"Institute of Science and Technology Austria","date_updated":"2026-09-07T14:12:38Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"status":"public","title":"On the adaptive security of graph-based games","ddc":["519"],"OA_place":"publisher","degree_awarded":"PhD","oa_version":"Published Version"},{"doi":"10.1007/978-3-030-75539-3_17","type":"conference","publication_status":"published","alternative_title":["LNCS"],"publication_identifier":{"isbn":["9783030755386"],"issn":["0302-9743"],"eissn":["1611-3349"]},"_id":"9826","intvolume":"     12704","article_processing_charge":"No","quality_controlled":"1","fulldoi":"https://doi.org/10.1007/978-3-030-75539-3_17","corr_author":"1","title":"Inverse-Sybil attacks in automated contact tracing","status":"public","volume":12704,"date_updated":"2026-09-07T11:37:54Z","oa_version":"Submitted Version","oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"KrPi"},{"_id":"GradSch"}],"abstract":[{"text":"Automated contract tracing aims at supporting manual contact tracing during pandemics by alerting users of encounters with infected people. There are currently many proposals for protocols (like the “decentralized” DP-3T and PACT or the “centralized” ROBERT and DESIRE) to be run on mobile phones, where the basic idea is to regularly broadcast (using low energy Bluetooth) some values, and at the same time store (a function of) incoming messages broadcasted by users in their proximity. In the existing proposals one can trigger false positives on a massive scale by an “inverse-Sybil” attack, where a large number of devices (malicious users or hacked phones) pretend to be the same user, such that later, just a single person needs to be diagnosed (and allowed to upload) to trigger an alert for all users who were in proximity to any of this large group of devices.\r\n\r\nWe propose the first protocols that do not succumb to such attacks assuming the devices involved in the attack do not constantly communicate, which we observe is a necessary assumption. The high level idea of the protocols is to derive the values to be broadcasted by a hash chain, so that two (or more) devices who want to launch an inverse-Sybil attack will not be able to connect their respective chains and thus only one of them will be able to upload. Our protocols also achieve security against replay, belated replay, and one of them even against relay attacks.","lang":"eng"}],"publisher":"Springer Nature","citation":{"apa":"Auerbach, B., Chakraborty, S., Klein, K., Pascual Perez, G., Pietrzak, K. Z., Walter, M., &#38; Yeo, M. X. (2021). Inverse-Sybil attacks in automated contact tracing. In <i>Topics in Cryptology – CT-RSA 2021</i> (Vol. 12704, pp. 399–421). Virtual Event: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-75539-3_17\">https://doi.org/10.1007/978-3-030-75539-3_17</a>","ieee":"B. Auerbach <i>et al.</i>, “Inverse-Sybil attacks in automated contact tracing,” in <i>Topics in Cryptology – CT-RSA 2021</i>, Virtual Event, 2021, vol. 12704, pp. 399–421.","mla":"Auerbach, Benedikt, et al. “Inverse-Sybil Attacks in Automated Contact Tracing.” <i>Topics in Cryptology – CT-RSA 2021</i>, vol. 12704, Springer Nature, 2021, pp. 399–421, doi:<a href=\"https://doi.org/10.1007/978-3-030-75539-3_17\">10.1007/978-3-030-75539-3_17</a>.","ista":"Auerbach B, Chakraborty S, Klein K, Pascual Perez G, Pietrzak KZ, Walter M, Yeo MX. 2021. Inverse-Sybil attacks in automated contact tracing. Topics in Cryptology – CT-RSA 2021. CT-RSA: Cryptographers’ Track at the RSA Conference, LNCS, vol. 12704, 399–421.","chicago":"Auerbach, Benedikt, Suvradip Chakraborty, Karen Klein, Guillermo Pascual Perez, Krzysztof Z Pietrzak, Michael Walter, and Michelle X Yeo. “Inverse-Sybil Attacks in Automated Contact Tracing.” In <i>Topics in Cryptology – CT-RSA 2021</i>, 12704:399–421. Springer Nature, 2021. <a href=\"https://doi.org/10.1007/978-3-030-75539-3_17\">https://doi.org/10.1007/978-3-030-75539-3_17</a>.","ama":"Auerbach B, Chakraborty S, Klein K, et al. Inverse-Sybil attacks in automated contact tracing. In: <i>Topics in Cryptology – CT-RSA 2021</i>. Vol 12704. Springer Nature; 2021:399-421. doi:<a href=\"https://doi.org/10.1007/978-3-030-75539-3_17\">10.1007/978-3-030-75539-3_17</a>","short":"B. Auerbach, S. Chakraborty, K. Klein, G. Pascual Perez, K.Z. Pietrzak, M. Walter, M.X. Yeo, in:, Topics in Cryptology – CT-RSA 2021, Springer Nature, 2021, pp. 399–421."},"author":[{"id":"D33D2B18-E445-11E9-ABB7-15F4E5697425","orcid":"0000-0002-7553-6606","full_name":"Auerbach, Benedikt","last_name":"Auerbach","first_name":"Benedikt"},{"last_name":"Chakraborty","first_name":"Suvradip","id":"B9CD0494-D033-11E9-B219-A439E6697425","full_name":"Chakraborty, Suvradip"},{"first_name":"Karen","last_name":"Klein","full_name":"Klein, Karen","id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Pascual Perez","first_name":"Guillermo","full_name":"Pascual Perez, Guillermo","id":"2D7ABD02-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8630-415X"},{"orcid":"0000-0002-9139-1654","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","full_name":"Pietrzak, Krzysztof Z","first_name":"Krzysztof Z","last_name":"Pietrzak"},{"first_name":"Michael","last_name":"Walter","full_name":"Walter, Michael","orcid":"0000-0003-3186-2482","id":"488F98B0-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Yeo, Michelle X","id":"2D82B818-F248-11E8-B48F-1D18A9856A87","orcid":"0009-0001-3676-4809","first_name":"Michelle X","last_name":"Yeo"}],"main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2020/670"}],"date_created":"2021-08-08T22:01:30Z","day":"11","year":"2021","ec_funded":1,"publication":"Topics in Cryptology – CT-RSA 2021","conference":{"location":"Virtual Event","name":"CT-RSA: Cryptographers’ Track at the RSA Conference","start_date":"2021-05-17","end_date":"2021-05-20"},"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"},{"grant_number":"682815","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Teaching Old Crypto New Tricks"}],"page":"399-421","month":"05","date_published":"2021-05-11T00:00:00Z","acknowledgement":"Guillermo Pascual-Perez and Michelle Yeo were funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska–Curie Grant Agreement No. 665385; the remaining contributors to this project have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT).","scopus_import":"1","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd"},{"fulldoi":"https://doi.org/10.1109/sp40001.2021.00035","isi":1,"corr_author":"1","article_processing_charge":"No","quality_controlled":"1","_id":"10049","doi":"10.1109/sp40001.2021.00035","type":"conference","publication_status":"published","related_material":{"record":[{"id":"10035","status":"public","relation":"dissertation_contains"},{"relation":"dissertation_contains","status":"public","id":"18088"}]},"page":"268-284","month":"08","date_published":"2021-08-26T00:00:00Z","scopus_import":"1","acknowledgement":"The first three authors contributed equally to this work. Funded by the European Research Council (ERC) under the European Union’s Horizon2020 research and innovation programme (682815-TOCNeT). Funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No.665385.","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2021","ec_funded":1,"publication":"2021 IEEE Symposium on Security and Privacy ","conference":{"start_date":"2021-05-24","name":"SP: Symposium on Security and Privacy","end_date":"2021-05-27","location":"San Francisco, CA, United States"},"external_id":{"isi":["001316065000016"]},"project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"Teaching Old Crypto New Tricks","call_identifier":"H2020","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","grant_number":"682815"}],"oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"KrPi"},{"_id":"DaAl"}],"abstract":[{"lang":"eng","text":"While messaging systems with strong security guarantees are widely used in practice, designing a protocol that scales efficiently to large groups and enjoys similar security guarantees remains largely open. The two existing proposals to date are ART (Cohn-Gordon et al., CCS18) and TreeKEM (IETF, The Messaging Layer Security Protocol, draft). TreeKEM is the currently considered candidate by the IETF MLS working group, but dynamic group operations (i.e. adding and removing users) can cause efficiency issues. In this paper we formalize and analyze a variant of TreeKEM which we term Tainted TreeKEM (TTKEM for short). The basic idea underlying TTKEM was suggested by Millican (MLS mailing list, February 2018). This version is more efficient than TreeKEM for some natural distributions of group operations, we quantify this through simulations.Our second contribution is two security proofs for TTKEM which establish post compromise and forward secrecy even against adaptive attackers. The security loss (to the underlying PKE) in the Random Oracle Model is a polynomial factor, and a quasipolynomial one in the Standard Model. Our proofs can be adapted to TreeKEM as well. Before our work no security proof for any TreeKEM-like protocol establishing tight security against an adversary who can adaptively choose the sequence of operations was known. We also are the first to prove (or even formalize) active security where the server can arbitrarily deviate from the protocol specification. Proving fully active security – where also the users can arbitrarily deviate – remains open."}],"publisher":"IEEE","citation":{"ieee":"K. Klein <i>et al.</i>, “Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement,” in <i>2021 IEEE Symposium on Security and Privacy </i>, San Francisco, CA, United States, 2021, pp. 268–284.","apa":"Klein, K., Pascual Perez, G., Walter, M., Kamath Hosdurg, C., Capretto, M., Cueto Noval, M., … Pietrzak, K. Z. (2021). Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. In <i>2021 IEEE Symposium on Security and Privacy </i> (pp. 268–284). San Francisco, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/sp40001.2021.00035\">https://doi.org/10.1109/sp40001.2021.00035</a>","chicago":"Klein, Karen, Guillermo Pascual Perez, Michael Walter, Chethan Kamath Hosdurg, Margarita Capretto, Miguel Cueto Noval, Ilia Markov, Michelle X Yeo, Joel F Alwen, and Krzysztof Z Pietrzak. “Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement.” In <i>2021 IEEE Symposium on Security and Privacy </i>, 268–84. IEEE, 2021. <a href=\"https://doi.org/10.1109/sp40001.2021.00035\">https://doi.org/10.1109/sp40001.2021.00035</a>.","short":"K. Klein, G. Pascual Perez, M. Walter, C. Kamath Hosdurg, M. Capretto, M. Cueto Noval, I. Markov, M.X. Yeo, J.F. Alwen, K.Z. Pietrzak, in:, 2021 IEEE Symposium on Security and Privacy , IEEE, 2021, pp. 268–284.","ama":"Klein K, Pascual Perez G, Walter M, et al. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. In: <i>2021 IEEE Symposium on Security and Privacy </i>. IEEE; 2021:268-284. doi:<a href=\"https://doi.org/10.1109/sp40001.2021.00035\">10.1109/sp40001.2021.00035</a>","ista":"Klein K, Pascual Perez G, Walter M, Kamath Hosdurg C, Capretto M, Cueto Noval M, Markov I, Yeo MX, Alwen JF, Pietrzak KZ. 2021. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. 2021 IEEE Symposium on Security and Privacy . SP: Symposium on Security and Privacy, 268–284.","mla":"Klein, Karen, et al. “Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement.” <i>2021 IEEE Symposium on Security and Privacy </i>, IEEE, 2021, pp. 268–84, doi:<a href=\"https://doi.org/10.1109/sp40001.2021.00035\">10.1109/sp40001.2021.00035</a>."},"author":[{"last_name":"Klein","first_name":"Karen","id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87","full_name":"Klein, Karen"},{"first_name":"Guillermo","last_name":"Pascual Perez","orcid":"0000-0001-8630-415X","id":"2D7ABD02-F248-11E8-B48F-1D18A9856A87","full_name":"Pascual Perez, Guillermo"},{"first_name":"Michael","last_name":"Walter","id":"488F98B0-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3186-2482","full_name":"Walter, Michael"},{"first_name":"Chethan","last_name":"Kamath Hosdurg","full_name":"Kamath Hosdurg, Chethan","orcid":"0009-0006-6812-7317","id":"4BD3F30E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Margarita","last_name":"Capretto","full_name":"Capretto, Margarita"},{"last_name":"Cueto Noval","first_name":"Miguel","id":"ffc563a3-f6e0-11ea-865d-e3cce03d17cc","orcid":"0000-0002-2505-4246","full_name":"Cueto Noval, Miguel"},{"first_name":"Ilia","last_name":"Markov","id":"D0CF4148-C985-11E9-8066-0BDEE5697425","full_name":"Markov, Ilia"},{"full_name":"Yeo, Michelle X","id":"2D82B818-F248-11E8-B48F-1D18A9856A87","orcid":"0009-0001-3676-4809","first_name":"Michelle X","last_name":"Yeo"},{"id":"2A8DFA8C-F248-11E8-B48F-1D18A9856A87","full_name":"Alwen, Joel F","first_name":"Joel F","last_name":"Alwen"},{"last_name":"Pietrzak","first_name":"Krzysztof Z","orcid":"0000-0002-9139-1654","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","full_name":"Pietrzak, Krzysztof Z"}],"main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2019/1489"}],"date_created":"2021-09-27T13:46:27Z","day":"26","status":"public","title":"Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement","date_updated":"2026-09-07T14:12:38Z","oa_version":"Preprint"},{"year":"2021","ec_funded":1,"publication":"ACM Transactions on Graphics","file":[{"success":1,"date_created":"2021-10-18T10:42:15Z","access_level":"open_access","checksum":"7e5d08ce46b0451b3102eacd3d00f85f","file_size":17064290,"date_updated":"2021-10-18T10:42:15Z","file_id":"10150","creator":"chafner","file_name":"elastic-curves-paper.pdf","content_type":"application/pdf","relation":"main_file"},{"access_level":"open_access","date_created":"2021-10-18T10:42:22Z","checksum":"0088643478be7c01a703b5b10767348f","file_name":"elastic-curves-supp.pdf","relation":"supplementary_material","content_type":"application/pdf","file_size":547156,"date_updated":"2021-10-18T10:42:22Z","file_id":"10151","creator":"chafner"}],"conference":{"location":"Virtual","end_date":"2021-08-13","name":"SIGGRAF: Special Interest Group on Computer Graphics and Interactive Techniques","start_date":"2021-08-09"},"external_id":{"isi":["000674930900091"]},"project":[{"_id":"24F9549A-B435-11E9-9278-68D0E5697425","grant_number":"715767","name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","call_identifier":"H2020"}],"date_published":"2021-07-19T00:00:00Z","month":"07","keyword":["Computing methodologies","shape modeling","modeling and simulation","theory of computation","computational geometry","mathematics of computing","mathematical optimization"],"acknowledgement":"We thank the anonymous reviewers for their generous feedback, and Michal Piovarči for his help in producing the supplemental video. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715767).\r\n","scopus_import":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"title":"The design space of plane elastic curves","date_updated":"2026-09-26T22:30:06Z","volume":40,"oa_version":"Published Version","ddc":["516"],"oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"BeBi"}],"abstract":[{"text":"Elastic bending of initially flat slender elements allows the realization and economic fabrication of intriguing curved shapes. In this work, we derive an intuitive but rigorous geometric characterization of the design space of plane elastic rods with variable stiffness. It enables designers to determine which shapes are physically viable with active bending by visual inspection alone. Building on these insights, we propose a method for efficiently designing the geometry of a flat elastic rod that realizes a target equilibrium curve, which only requires solving a linear program. We implement this method in an interactive computational design tool that gives feedback about the feasibility of a design, and computes the geometry of the structural elements necessary to realize it within an instant. The tool also offers an iterative optimization routine that improves the fabricability of a model while modifying it as little as possible. In addition, we use our geometric characterization to derive an algorithm for analyzing and recovering the stability of elastic curves that would otherwise snap out of their unstable equilibrium shapes by buckling. We show the efficacy of our approach by designing and manufacturing several physical models that are assembled from flat elements.","lang":"eng"}],"author":[{"first_name":"Christian","last_name":"Hafner","id":"400429CC-F248-11E8-B48F-1D18A9856A87","full_name":"Hafner, Christian"},{"first_name":"Bernd","last_name":"Bickel","orcid":"0000-0001-6511-9385","id":"49876194-F248-11E8-B48F-1D18A9856A87","full_name":"Bickel, Bernd"}],"publisher":"Association for Computing Machinery","citation":{"apa":"Hafner, C., &#38; Bickel, B. (2021). The design space of plane elastic curves. <i>ACM Transactions on Graphics</i>. Virtual: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3450626.3459800\">https://doi.org/10.1145/3450626.3459800</a>","ieee":"C. Hafner and B. Bickel, “The design space of plane elastic curves,” <i>ACM Transactions on Graphics</i>, vol. 40, no. 4. Association for Computing Machinery, 2021.","ista":"Hafner C, Bickel B. 2021. The design space of plane elastic curves. ACM Transactions on Graphics. 40(4), 126.","mla":"Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic Curves.” <i>ACM Transactions on Graphics</i>, vol. 40, no. 4, 126, Association for Computing Machinery, 2021, doi:<a href=\"https://doi.org/10.1145/3450626.3459800\">10.1145/3450626.3459800</a>.","chicago":"Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic Curves.” <i>ACM Transactions on Graphics</i>. Association for Computing Machinery, 2021. <a href=\"https://doi.org/10.1145/3450626.3459800\">https://doi.org/10.1145/3450626.3459800</a>.","ama":"Hafner C, Bickel B. The design space of plane elastic curves. <i>ACM Transactions on Graphics</i>. 2021;40(4). doi:<a href=\"https://doi.org/10.1145/3450626.3459800\">10.1145/3450626.3459800</a>","short":"C. Hafner, B. Bickel, ACM Transactions on Graphics 40 (2021)."},"date_created":"2021-08-08T22:01:26Z","day":"19","article_processing_charge":"No","quality_controlled":"1","has_accepted_license":"1","file_date_updated":"2021-10-18T10:42:22Z","fulldoi":"https://doi.org/10.1145/3450626.3459800","article_type":"original","isi":1,"doi":"10.1145/3450626.3459800","type":"journal_article","publication_status":"published","related_material":{"link":[{"description":"News on IST Website","url":"https://ist.ac.at/en/news/designing-with-elastic-structures/","relation":"press_release"}],"record":[{"id":"12897","status":"public","relation":"dissertation_contains"}]},"publication_identifier":{"issn":["0730-0301"],"eissn":["1557-7368"]},"issue":"4","_id":"9817","intvolume":"        40","article_number":"126"},{"publication_status":"published","related_material":{"link":[{"description":"News on IST Homepage","url":"https://ist.ac.at/en/news/wound-healing-waves/","relation":"press_release"}],"record":[{"relation":"dissertation_contains","status":"public","id":"12964"}]},"doi":"10.1038/s41567-020-01037-7","type":"journal_article","_id":"8602","intvolume":"        17","publication_identifier":{"eissn":["1745-2481"],"issn":["1745-2473"]},"quality_controlled":"1","article_processing_charge":"No","corr_author":"1","isi":1,"article_type":"original","fulldoi":"https://doi.org/10.1038/s41567-020-01037-7","oa_version":"Preprint","status":"public","title":"Theory of mechanochemical patterning and optimal migration in cell monolayers","date_updated":"2026-09-26T22:30:05Z","volume":17,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2020.05.15.096479"}],"author":[{"first_name":"Daniel R","last_name":"Boocock","full_name":"Boocock, Daniel R","orcid":"0000-0002-1585-2631","id":"453AF628-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Hino","first_name":"Naoya","full_name":"Hino, Naoya"},{"full_name":"Ruzickova, Natalia","id":"D2761128-D73D-11E9-A1BF-BA0DE6697425","last_name":"Ruzickova","first_name":"Natalia"},{"full_name":"Hirashima, Tsuyoshi","first_name":"Tsuyoshi","last_name":"Hirashima"},{"first_name":"Edouard B","last_name":"Hannezo","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6005-1561","full_name":"Hannezo, Edouard B"}],"publisher":"Springer Nature","citation":{"ieee":"D. R. Boocock, N. Hino, N. Ruzickova, T. Hirashima, and E. B. Hannezo, “Theory of mechanochemical patterning and optimal migration in cell monolayers,” <i>Nature Physics</i>, vol. 17. Springer Nature, pp. 267–274, 2021.","apa":"Boocock, D. R., Hino, N., Ruzickova, N., Hirashima, T., &#38; Hannezo, E. B. (2021). Theory of mechanochemical patterning and optimal migration in cell monolayers. <i>Nature Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41567-020-01037-7\">https://doi.org/10.1038/s41567-020-01037-7</a>","ama":"Boocock DR, Hino N, Ruzickova N, Hirashima T, Hannezo EB. Theory of mechanochemical patterning and optimal migration in cell monolayers. <i>Nature Physics</i>. 2021;17:267-274. doi:<a href=\"https://doi.org/10.1038/s41567-020-01037-7\">10.1038/s41567-020-01037-7</a>","chicago":"Boocock, Daniel R, Naoya Hino, Natalia Ruzickova, Tsuyoshi Hirashima, and Edouard B Hannezo. “Theory of Mechanochemical Patterning and Optimal Migration in Cell Monolayers.” <i>Nature Physics</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s41567-020-01037-7\">https://doi.org/10.1038/s41567-020-01037-7</a>.","short":"D.R. Boocock, N. Hino, N. Ruzickova, T. Hirashima, E.B. Hannezo, Nature Physics 17 (2021) 267–274.","mla":"Boocock, Daniel R., et al. “Theory of Mechanochemical Patterning and Optimal Migration in Cell Monolayers.” <i>Nature Physics</i>, vol. 17, Springer Nature, 2021, pp. 267–74, doi:<a href=\"https://doi.org/10.1038/s41567-020-01037-7\">10.1038/s41567-020-01037-7</a>.","ista":"Boocock DR, Hino N, Ruzickova N, Hirashima T, Hannezo EB. 2021. Theory of mechanochemical patterning and optimal migration in cell monolayers. Nature Physics. 17, 267–274."},"day":"01","date_created":"2020-10-04T22:01:37Z","oa":1,"abstract":[{"lang":"eng","text":"Collective cell migration offers a rich field of study for non-equilibrium physics and cellular biology, revealing phenomena such as glassy dynamics, pattern formation and active turbulence. However, how mechanical and chemical signalling are integrated at the cellular level to give rise to such collective behaviours remains unclear. We address this by focusing on the highly conserved phenomenon of spatiotemporal waves of density and extracellular signal-regulated kinase (ERK) activation, which appear both in vitro and in vivo during collective cell migration and wound healing. First, we propose a biophysical theory, backed by mechanical and optogenetic perturbation experiments, showing that patterns can be quantitatively explained by a mechanochemical coupling between active cellular tensions and the mechanosensitive ERK pathway. Next, we demonstrate how this biophysical mechanism can robustly induce long-ranged order and migration in a desired orientation, and we determine the theoretically optimal wavelength and period for inducing maximal migration towards free edges, which fits well with experimentally observed dynamics. We thereby provide a bridge between the biophysical origin of spatiotemporal instabilities and the design principles of robust and efficient long-ranged migration."}],"language":[{"iso":"eng"}],"department":[{"_id":"EdHa"}],"publication":"Nature Physics","project":[{"grant_number":"P31639","_id":"268294B6-B435-11E9-9278-68D0E5697425","name":"Active mechano-chemical description of the cell cytoskeleton","call_identifier":"FWF"},{"name":"Design Principles of Branching Morphogenesis","call_identifier":"H2020","grant_number":"851288","_id":"05943252-7A3F-11EA-A408-12923DDC885E"},{"name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"external_id":{"isi":["000573519500002"]},"year":"2021","ec_funded":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"267-274","scopus_import":"1","acknowledgement":"We would like to thank G. Tkacik and all of the members of the Hannezo and Hirashima groups for useful discussions, X. Trepat for help on traction force microscopy and M. Matsuda for use of the lab facility. E.H. acknowledges grants from the Austrian Science Fund (FWF) (P 31639) and the European Research Council (851288). T.H. acknowledges a grant from JST, PRESTO (JPMJPR1949). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 665385 (to D.B.), from JSPS KAKENHI grant no. 17J02107 (to N.H.) and from the SPIRITS 2018 of Kyoto University (to E.H. and T.H.).","month":"02","date_published":"2021-02-01T00:00:00Z"},{"publication_status":"published","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"19557"},{"status":"public","id":"7800","relation":"earlier_version"},{"status":"public","id":"12401","relation":"dissertation_contains"}],"link":[{"relation":"press_release","url":"https://ist.ac.at/en/news/defective-gene-slows-down-brain-cells/"}]},"doi":"10.1038/s41467-021-23123-x","type":"journal_article","issue":"1","_id":"9429","article_number":"3058","intvolume":"        12","publication_identifier":{"eissn":["2041-1723"]},"quality_controlled":"1","has_accepted_license":"1","file_date_updated":"2021-05-28T12:39:43Z","article_processing_charge":"No","isi":1,"corr_author":"1","fulldoi":"https://doi.org/10.1038/s41467-021-23123-x","article_type":"original","oa_version":"Published Version","acknowledged_ssus":[{"_id":"PreCl"}],"ddc":["572"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"status":"public","title":"Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development","volume":12,"date_updated":"2026-09-26T22:30:12Z","citation":{"ama":"Morandell J, Schwarz LA, Basilico B, et al. Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development. <i>Nature Communications</i>. 2021;12(1). doi:<a href=\"https://doi.org/10.1038/s41467-021-23123-x\">10.1038/s41467-021-23123-x</a>","short":"J. Morandell, L.A. Schwarz, B. Basilico, S. Tasciyan, G.A. Dimchev, A. Nicolas, C.M. Sommer, C. Kreuzinger, C. Dotter, L. Knaus, Z. Dobler, E. Cacci, F.K. Schur, J.G. Danzl, G. Novarino, Nature Communications 12 (2021).","chicago":"Morandell, Jasmin, Lena A Schwarz, Bernadette Basilico, Saren Tasciyan, Georgi A Dimchev, Armel Nicolas, Christoph M Sommer, et al. “Cul3 Regulates Cytoskeleton Protein Homeostasis and Cell Migration during a Critical Window of Brain Development.” <i>Nature Communications</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s41467-021-23123-x\">https://doi.org/10.1038/s41467-021-23123-x</a>.","ista":"Morandell J, Schwarz LA, Basilico B, Tasciyan S, Dimchev GA, Nicolas A, Sommer CM, Kreuzinger C, Dotter C, Knaus L, Dobler Z, Cacci E, Schur FK, Danzl JG, Novarino G. 2021. Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development. Nature Communications. 12(1), 3058.","mla":"Morandell, Jasmin, et al. “Cul3 Regulates Cytoskeleton Protein Homeostasis and Cell Migration during a Critical Window of Brain Development.” <i>Nature Communications</i>, vol. 12, no. 1, 3058, Springer Nature, 2021, doi:<a href=\"https://doi.org/10.1038/s41467-021-23123-x\">10.1038/s41467-021-23123-x</a>.","apa":"Morandell, J., Schwarz, L. A., Basilico, B., Tasciyan, S., Dimchev, G. A., Nicolas, A., … Novarino, G. (2021). Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-021-23123-x\">https://doi.org/10.1038/s41467-021-23123-x</a>","ieee":"J. Morandell <i>et al.</i>, “Cul3 regulates cytoskeleton protein homeostasis and cell migration during a critical window of brain development,” <i>Nature Communications</i>, vol. 12, no. 1. Springer Nature, 2021."},"author":[{"first_name":"Jasmin","last_name":"Morandell","id":"4739D480-F248-11E8-B48F-1D18A9856A87","full_name":"Morandell, Jasmin"},{"first_name":"Lena A","last_name":"Schwarz","full_name":"Schwarz, Lena A","id":"29A8453C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-1843-3173","id":"36035796-5ACA-11E9-A75E-7AF2E5697425","full_name":"Basilico, Bernadette","last_name":"Basilico","first_name":"Bernadette"},{"full_name":"Tasciyan, Saren","orcid":"0000-0003-1671-393X","id":"4323B49C-F248-11E8-B48F-1D18A9856A87","first_name":"Saren","last_name":"Tasciyan"},{"last_name":"Dimchev","first_name":"Georgi A","orcid":"0000-0001-8370-6161","id":"38C393BE-F248-11E8-B48F-1D18A9856A87","full_name":"Dimchev, Georgi A"},{"last_name":"Nicolas","first_name":"Armel","full_name":"Nicolas, Armel","id":"2A103192-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105","full_name":"Sommer, Christoph M"},{"last_name":"Kreuzinger","first_name":"Caroline","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-9033-9096","id":"4C66542E-F248-11E8-B48F-1D18A9856A87","full_name":"Dotter, Christoph","last_name":"Dotter","first_name":"Christoph"},{"first_name":"Lisa","last_name":"Knaus","full_name":"Knaus, Lisa","id":"3B2ABCF4-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Dobler, Zoe","id":"D23090A2-9057-11EA-883A-A8396FC7A38F","first_name":"Zoe","last_name":"Dobler"},{"first_name":"Emanuele","last_name":"Cacci","full_name":"Cacci, Emanuele"},{"last_name":"Schur","first_name":"Florian KM","full_name":"Schur, Florian KM","orcid":"0000-0003-4790-8078","id":"48AD8942-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","first_name":"Gaia","last_name":"Novarino"}],"publisher":"Springer Nature","date_created":"2021-05-28T11:49:46Z","day":"24","oa":1,"language":[{"iso":"eng"}],"department":[{"_id":"GaNo"},{"_id":"JoDa"},{"_id":"FlSc"},{"_id":"MiSi"},{"_id":"LifeSc"},{"_id":"Bio"}],"abstract":[{"text":"De novo loss of function mutations in the ubiquitin ligase-encoding gene Cullin3 lead to autism spectrum disorder (ASD). In mouse, constitutive haploinsufficiency leads to motor coordination deficits as well as ASD-relevant social and cognitive impairments. However, induction of Cul3 haploinsufficiency later in life does not lead to ASD-relevant behaviors, pointing to an important role of Cul3 during a critical developmental window. Here we show that Cul3 is essential to regulate neuronal migration and, therefore, constitutive Cul3 heterozygous mutant mice display cortical lamination abnormalities. At the molecular level, we found that Cul3 controls neuronal migration by tightly regulating the amount of Plastin3 (Pls3), a previously unrecognized player of neural migration. Furthermore, we found that Pls3 cell-autonomously regulates cell migration by regulating actin cytoskeleton organization, and its levels are inversely proportional to neural migration speed. Finally, we provide evidence that cellular phenotypes associated with autism-linked gene haploinsufficiency can be rescued by transcriptional activation of the intact allele in vitro, offering a proof of concept for a potential therapeutic approach for ASDs.","lang":"eng"}],"publication":"Nature Communications","file":[{"file_id":"9430","creator":"kschuh","date_updated":"2021-05-28T12:39:43Z","file_size":9358599,"content_type":"application/pdf","relation":"main_file","file_name":"2021_NatureCommunications_Morandell.pdf","checksum":"337e0f7959c35ec959984cacdcb472ba","date_created":"2021-05-28T12:39:43Z","success":1,"access_level":"open_access"}],"project":[{"name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","grant_number":"715508","call_identifier":"H2020","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models"},{"call_identifier":"FWF","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232"},{"grant_number":"F7807","_id":"05A0D778-7A3F-11EA-A408-12923DDC885E","name":"Stem Cell Modulation in Neural Development and Regeneration/ P07-Neural stem cells in autism and epilepsy"},{"name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","grant_number":"I03600"}],"external_id":{"isi":["000658769900010"]},"year":"2021","ec_funded":1,"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_published":"2021-05-24T00:00:00Z","month":"05","scopus_import":"1","keyword":["General Biochemistry","Genetics and Molecular Biology"],"acknowledgement":"We thank A. Coll Manzano, F. Freeman, M. Ladron de Guevara, and A. Ç. Yahya for technical assistance, S. Deixler, A. Lepold, and A. Schlerka for the management of our animal colony, as well as M. Schunn and the Preclinical Facility team for technical assistance. We thank K. Heesom and her team at the University of Bristol Proteomics Facility for the proteomics sample preparation, data generation, and analysis support. We thank Y. B. Simon for kindly providing the plasmid for lentiviral labeling. Further, we thank M. Sixt for his advice regarding cell migration and the fruitful discussions. This work was supported by the ISTPlus postdoctoral fellowship (Grant Agreement No. 754411) to B.B., by the European Union’s Horizon 2020 research and innovation program (ERC) grant 715508 (REVERSEAUTISM), and by the Austrian Science Fund (FWF) to G.N. (DK W1232-B24 and SFB F7807-B) and to J.G.D (I3600-B27)."}]