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Privacy-Preserving Public Information for Sequential Games.

, , , и . ITCS, стр. 173-180. ACM, (2015)

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Другие публикации лиц с тем же именем

Efficient, Differentially Private Point Estimators. CoRR, (2008)Local, Private, Efficient Protocols for Succinct Histograms., и . STOC, стр. 127-135. ACM, (2015)Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso., и . COLT, том 30 из JMLR Workshop and Conference Proceedings, стр. 819-850. JMLR.org, (2013)Tight Bounds for Unconditional Authentication Protocols in the Manual Channel and Shared Key Models., , и . CRYPTO, том 4117 из Lecture Notes in Computer Science, стр. 214-231. Springer, (2006)The price of privately releasing contingency tables and the spectra of random matrices with correlated rows., , , и . STOC, стр. 775-784. ACM, (2010)Non-parametric Differentially Private Confidence Intervals for the Median., , , , и . CoRR, (2021)Scrambling adversarial errors using few random bits, optimal information reconciliation, and better private codes.. SODA, стр. 395-404. SIAM, (2007)Node-Differentially Private Estimation of the Number of Connected Components., , , и . PODS, стр. 183-194. ACM, (2023)Strong Memory Lower Bounds for Learning Natural Models., , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 4989-5029. PMLR, (2022)The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space., , и . NeurIPS, (2020)