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Pure Differential Privacy for Rectangle Queries via Private Partitions.

, , , and . ASIACRYPT (2), volume 9453 of Lecture Notes in Computer Science, page 735-751. Springer, (2015)

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Learning to impersonate., and . ICML, volume 148 of ACM International Conference Proceeding Series, page 649-656. ACM, (2006)Simple Doubly-Efficient Interactive Proof Systems for Locally-Characterizable Sets., and . ITCS, volume 94 of LIPIcs, page 18:1-18:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Probably Approximately Metric-Fair Learning., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5666-5674. PMLR, (2018)Preference-Informed Fairness., , , and . CoRR, (2019)Finding a Nash equilibrium is no easier than breaking Fiat-Shamir., , , , , and . STOC, page 1103-1114. ACM, (2019)On Best-Possible Obfuscation., and . J. Cryptol., 27 (3): 480-505 (2014)One-Time Programs., , and . CRYPTO, volume 5157 of Lecture Notes in Computer Science, page 39-56. Springer, (2008)Concentrated Differential Privacy., and . CoRR, (2016)On Prover-Efficient Public-Coin Emulation of Interactive Proofs., and . Electron. Colloquium Comput. Complex., (2019)Fine-grained Complexity Meets IP = PSPACE., , , , and . SODA, page 1-20. SIAM, (2019)