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Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution.

, , and . CoRR, (2018)

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Multi-party Poisoning through Generalized p-Tampering., , and . CoRR, (2018)Registration-Based Encryption from Standard Assumptions., , , , and . IACR Cryptol. ePrint Arch., (2018)Transversals in long rectangular arrays., , , , and . Discret. Math., 306 (23): 3011-3013 (2006)Computational Concentration of Measure: Optimal Bounds, Reductions, and More., , and . SODA, page 345-363. SIAM, (2020)On the Power of Hierarchical Identity-Based Encryption., and . EUROCRYPT (2), volume 9666 of Lecture Notes in Computer Science, page 243-272. Springer, (2016)Learning and certification under instance-targeted poisoning., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2135-2145. AUAI Press, (2021)Black-Box Uselessness: Composing Separations in Cryptography., , and . ITCS, volume 185 of LIPIcs, page 47:1-47:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Is Private Learning Possible with Instance Encoding?, , , , , , , and . SP, page 410-427. IEEE, (2021)Data Poisoning Attacks in Multi-Party Learning., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4274-4283. PMLR, (2019)Can Adversarially Robust Learning LeverageComputational Hardness?, and . ALT, volume 98 of Proceedings of Machine Learning Research, page 581-609. PMLR, (2019)