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5757 Publications


2021 | Conference Paper | IST-REx-ID: 10041 | OA
Kamath Hosdurg, Chethan, et al. “Limits on the Adaptive Security of Yao’s Garbling.” 41st Annual International Cryptology Conference, Part II , vol. 12826, Springer Nature, 2021, pp. 486–515, doi:10.1007/978-3-030-84245-1_17.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 

2021 | Conference Paper | IST-REx-ID: 10049 | OA
Klein, Karen, et al. “Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement.” 2021 IEEE Symposium on Security and Privacy , IEEE, 2021, pp. 268–84, doi:10.1109/sp40001.2021.00035.
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2021 | Conference Paper | IST-REx-ID: 10044 | OA
Kamath Hosdurg, Chethan, et al. “On Treewidth, Separators and Yao’s Garbling.” 19th Theory of Cryptography Conference 2021, 2021/926, International Association for Cryptologic Research, 2021.
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2021 | Thesis | IST-REx-ID: 10422 | OA
Piankov, Anton. Towards Designer Materials Using Customizable Particle Shape. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10422.
[Published Version] View | Files available | DOI
 

2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov, Nikola H., and Christoph Lampert. “Fairness through Regularization for Learning to Rank.” ArXiv, 2102.05996, doi:10.48550/arXiv.2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 10762 | OA
Rzadkowski, Wojciech, et al. “Artificial Neural Network States for Non-Additive Systems.” ArXiv, doi:10.48550/arXiv.2105.15193.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Thesis | IST-REx-ID: 9418 | OA
Phuong, Mary. Underspecification in Deep Learning. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9418.
[Published Version] View | Files available | DOI
 

2021 | Conference Paper | IST-REx-ID: 14177 | OA
Träuble, Frederik, et al. “On Disentangled Representations Learned from Correlated Data.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 10401–12.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14176 | OA
Yèche, Hugo, et al. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” Proceedings of 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 11964–74.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14182 | OA
Träuble, Frederik, et al. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” 35th Conference on Neural Information Processing Systems, vol. 34, 2021, pp. 116–28.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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