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Our Data, Ourselves: Privacy Via Distributed Noise Generation.

, , , , and . EUROCRYPT, volume 4004 of Lecture Notes in Computer Science, page 486-503. Springer, (2006)

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Scalability! But at what COST?, , and . HotOS, USENIX Association, (2015)A decentralized algorithm for spectral analysis., and . STOC, page 561-568. ACM, (2004)Foundations of Differential Dataflow., , and . FoSSaCS, volume 9034 of Lecture Notes in Computer Science, page 71-83. Springer, (2015)Toward Privacy in Public Databases., , , , and . TCC, volume 3378 of Lecture Notes in Computer Science, page 363-385. Springer, (2005)Calibrating Noise to Sensitivity in Private Data Analysis., , , and . J. Priv. Confidentiality, 7 (3): 17-51 (2016)Privacy integrated queries: an extensible platform for privacy-preserving data analysis.. SIGMOD Conference, page 19-30. ACM, (2009)A Simple and Practical Algorithm for Differentially Private Data Release., , and . NIPS, page 2348-2356. (2012)Web Search via Hub Synthesis., , , and . FOCS, page 500-509. IEEE Computer Society, (2001)On Spectral Learning of Mixtures of Distributions., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 458-469. Springer, (2005)Spectral analysis of data., , , , and . STOC, page 619-626. ACM, (2001)