Chalupa, M., &; Henzinger, T. A. (2023). Bubaak: Runtime monitoring of program verifiers. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 535–540). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30820-8_32 
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DOI: 10.1007/978-3-031-30820-8_32

Chalupa, M., Mühlböck, F., Muroya Lei, S., &; Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30826-0_15 
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Hoffmann, C., Hubádek, P., Kamath, C., &; Pietrzak, K. Z. (2023). Certifying giant nonprimes. In Public-Key Cryptography - PKC 2023 (Vol. 13940, pp. 530–553). Atlanta, GA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-31368-4_19 
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Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems  (Vol. 13993, pp. 3–25). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30823-9_1 
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Anand, A., Mallik, K., Nayak, S. P., &; Schmuck, A. K. (2023). Computing adequately permissive assumptions for synthesis. In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 211–228). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30820-8_15 
LibreCat: https://research-explorer.ista.ac.at/record/13141
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Henzinger, T. A., Mazzocchi, N. A., &; Sarac, N. E. (2023). Quantitative safety and liveness. In 26th International Conference Foundations of Software Science and Computation Structures (Vol. 13992, pp. 349–370). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30829-1_17 
LibreCat: https://research-explorer.ista.ac.at/record/12467
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arXiv: 2301.11175

Henzinger, T. A., Karimi, M., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37703-7_17 
LibreCat: https://research-explorer.ista.ac.at/record/13310
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arXiv: 2305.15979

Kretinsky, J., Meggendorfer, T., Prokop, M., &; Rieder, S. (2023). Guessing winning policies in LTL synthesis by semantic learning. In 35th International Conference on Computer Aided Verification  (Vol. 13964, pp. 390–414). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37706-8_20 
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Sun, Y., Fu, H., Chatterjee, K., &; Goharshady, A. K. (2023). Automated tail bound analysis for probabilistic recurrence relations. In Computer Aided Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_2 
LibreCat: https://research-explorer.ista.ac.at/record/14318
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Akshay, S., Chatterjee, K., Meggendorfer, T., &; Zikelic, D. (2023). MDPs as distribution transformers: Affine invariant synthesis for safety objectives. In International Conference on Computer Aided Verification (Vol. 13966, pp. 86–112). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_5 
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Tomaszewska, P., &; Lampert, C. (2023). On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In International Workshop on Reproducible Research in Pattern Recognition (Vol. 14068, pp. 67–73). Montreal, Canada: Springer Nature.https://doi.org/10.1007/978-3-031-40773-4_6 
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Dodis, Y., Ferguson, N., Goldin, E., Hall, P., &; Pietrzak, K. Z. (2023). Random oracle combiners: Breaking the concatenation barrier for collision-resistance. In 43rd Annual International Cryptology Conference (Vol. 14082, pp. 514–546). Santa Barbara, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-38545-2_17 
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Hoffmann, C., &; Simkin, M. (2023). Stronger lower bounds for leakage-resilient secret sharing. In 8th International Conference on Cryptology and Information Security in Latin America (Vol. 14168, pp. 215–228). Quito, Ecuador: Springer Nature.https://doi.org/10.1007/978-3-031-44469-2_11 
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Henzinger, T. A., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness under partial observations. In 23rd International Conference on Runtime Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature.https://doi.org/10.1007/978-3-031-44267-4_15 
LibreCat: https://research-explorer.ista.ac.at/record/14454
DOI: 10.1007/978-3-031-44267-4_15
arXiv: 2308.00341

Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature.https://doi.org/10.1007/978-3-031-45329-8_17 
LibreCat: https://research-explorer.ista.ac.at/record/14559
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Schmid, S., Svoboda, J., &; Yeo, M. X. (2023). Weighted packet selection for rechargeable links in cryptocurrency networks: Complexity and approximation. In SIROCCO 2023: Structural Information and Communication Complexity  (Vol. 13892, pp. 576–594). Alcala de Henares, Spain: Springer Nature.https://doi.org/10.1007/978-3-031-32733-9_26 
LibreCat: https://research-explorer.ista.ac.at/record/13238
DOI: 10.1007/978-3-031-32733-9_26
arXiv: 2204.13459

Hoffmann, C., Hubádek, P., Kamath, C., &; Krák, T. (2023). (Verifiable) delay functions from Lucas sequences. In 21st International Conference on Theory of Cryptography (Vol. 14372, pp. 336–362). Taipei, Taiwan: Springer Nature.https://doi.org/10.1007/978-3-031-48624-1_13 
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Auerbach, B., Cueto Noval, M., Pascual Perez, G., &; Pietrzak, K. Z. (2023). On the cost of post-compromise security in concurrent Continuous Group-Key Agreement. In 21st International Conference on Theory of Cryptography (Vol. 14371, pp. 271–300). Taipei, Taiwan: Springer Nature.https://doi.org/10.1007/978-3-031-48621-0_10 
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Auerbach, B., Hoffmann, C., &; Pascual Perez, G. (2023). Generic-group lower bounds via reductions between geometric-search problems: With and without preprocessing. In 21st International Conference on Theory of Cryptography (Vol. 14371, pp. 301–330). Springer Nature.https://doi.org/10.1007/978-3-031-48621-0_11 
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Stefo, C., Xiang, Z., &; Kokoris Kogias, E. (2023). Executing and proving over dirty ledgers. In 27th International Conference on Financial Cryptography and Data Security (Vol. 13950, pp. 3–20). Bol, Brac, Croatia: Springer Nature.https://doi.org/10.1007/978-3-031-47754-6_1 
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