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SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets.

, , , , , , и . CCS, стр. 2606-2620. ACM, (2023)

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Paul Evrard

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Другие публикации лиц с тем же именем

A Unified Framework for Conservative Exploration., , , , , , , и . CoRR, (2021)Adversarial Attacks on Linear Contextual Bandits., , , , , , и . NeurIPS, (2020)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , и . CoRR, (2019)Bandits with Side Observations: Bounded vs. Logarithmic Regret., , и . UAI, стр. 467-476. AUAI Press, (2018)Improved Algorithms for Conservative Exploration in Bandits., , , и . AAAI, стр. 3962-3969. AAAI Press, (2020)Top K Ranking for Multi-Armed Bandit with Noisy Evaluations., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 6242-6269. PMLR, (2022)Privacy Amplification via Shuffling for Linear Contextual Bandits., , , и . ALT, том 167 из Proceedings of Machine Learning Research, стр. 381-407. PMLR, (2022)Local Differential Privacy for Regret Minimization in Reinforcement Learning., , , и . NeurIPS, стр. 10561-10573. (2021)A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning., , , , , , , и . ICLR, OpenReview.net, (2022)Conservative Exploration in Reinforcement Learning., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1431-1441. PMLR, (2020)