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When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?

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Другие публикации лиц с тем же именем

Calibrating Noise to Sensitivity in Private Data Analysis., , , и . J. Priv. Confidentiality, 7 (3): 17-51 (2016)From Soft Classifiers to Hard Decisions: How fair can we be?, , , , , и . CoRR, (2018)Toward Privacy in Public Databases., , , , и . TCC, том 3378 из Lecture Notes in Computer Science, стр. 363-385. Springer, (2005)Max-Information, Differential Privacy, and Post-selection Hypothesis Testing., , , и . FOCS, стр. 487-494. IEEE Computer Society, (2016)Robust Traceability from Trace Amounts., , , , и . FOCS, стр. 650-669. IEEE Computer Society, (2015)Private Graphon Estimation for Sparse Graphs., , и . NIPS, стр. 1369-1377. (2015)Privacy-preserving statistical estimation with optimal convergence rates.. STOC, стр. 813-822. ACM, (2011)Scalable Multiparty Computation with Nearly Optimal Work and Resilience., , , , и . CRYPTO, том 5157 из Lecture Notes in Computer Science, стр. 241-261. Springer, (2008)Privacy-Preserving Public Information for Sequential Games., , , и . ITCS, стр. 173-180. ACM, (2015)Distributed Differential Privacy via Shuffling., , , , и . EUROCRYPT (1), том 11476 из Lecture Notes in Computer Science, стр. 375-403. Springer, (2019)