Frank McSherry

Microsoft Research, Silicon Valley Lab

	2013
c29		Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard: Differential Dataflow. CIDR 2013
	2012
c28		Moritz Hardt, Katrina Ligett, Frank McSherry: A Simple and Practical Algorithm for Differentially Private Data Release. NIPS 2012: 2348-2356
i4		Davide Proserpio, Sharon Goldberg, Frank McSherry: A Workflow for Differentially-Private Graph Synthesis. CoRR abs/1203.3453 (2012)
i3		Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar: On Privacy-Preserving Histograms. CoRR abs/1207.1371 (2012)
	2010
j5		Frank McSherry: Privacy integrated queries: an extensible platform for privacy-preserving data analysis. Commun. ACM 53(9): 89-97 (2010)
c27		Oliver Williams, Frank McSherry: Probabilistic Inference and Differential Privacy. NIPS 2010: 2451-2459
c26		Frank McSherry, Ratul Mahajan: Differentially-private network trace analysis. SIGCOMM 2010: 123-134
c25		Dennis Fetterly, Frank McSherry: A data-parallel toolkit for information retrieval. SIGIR 2010: 701
c24		Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar: Differentially Private Combinatorial Optimization. SODA 2010: 1106-1125
i2		Moritz Hardt, Katrina Ligett, Frank McSherry: A simple and practical algorithm for differentially private data release. CoRR abs/1012.4763 (2010)
	2009
j4		Scott Aaronson, Sudipto Guha, Jon M. Kleinberg, Frank McSherry, Dieter van Melkebeek, Amit Sahai: Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006). SIAM J. Comput. 39(1) (2009)
c23		Frank McSherry, Ilya Mironov: Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. KDD 2009: 627-636
c22		Frank McSherry: Privacy integrated queries: an extensible platform for privacy-preserving data analysis. SIGMOD Conference 2009: 19-30
i1		Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar: Differentially Private Approximation Algorithms. CoRR abs/0903.4510 (2009)
	2008
j3		David Kempe, Frank McSherry: A decentralized algorithm for spectral analysis. J. Comput. Syst. Sci. 74(1): 70-83 (2008)
j2		Philippe Golle, Frank McSherry, Ilya Mironov: Data Collection with Self-Enforcing Privacy. ACM Trans. Inf. Syst. Secur. 12(2) (2008)
c21		Frank McSherry, Marc Najork: Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR 2008: 414-421
	2007
j1		Dimitris Achlioptas, Frank McSherry: Fast computation of low-rank matrix approximations. J. ACM 54(2) (2007)
c20		Frank McSherry, Kunal Talwar: Mechanism Design via Differential Privacy. FOCS 2007: 94-103
c19		Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar: Privacy, accuracy, and consistency too: a holistic solution to contingency table release. PODS 2007: 273-282
c18		Cynthia Dwork, Frank McSherry, Kunal Talwar: The price of privacy and the limits of LP decoding. STOC 2007: 85-94
	2006
c17		Philippe Golle, Frank McSherry, Ilya Mironov: Data collection with self-enforcing privacy. ACM Conference on Computer and Communications Security 2006: 69-78
c16		Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor: Our Data, Ourselves: Privacy Via Distributed Noise Generation. EUROCRYPT 2006: 486-503
c15		Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith: Calibrating Noise to Sensitivity in Private Data Analysis. TCC 2006: 265-284
	2005
c14		Dimitris Achlioptas, Frank McSherry: On Spectral Learning of Mixtures of Distributions. COLT 2005: 458-469
c13		Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien: A First Look at Peer-to-Peer Worms: Threats and Defenses. IPTPS 2005: 24-35
c12		Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim: Practical privacy: the SuLQ framework. PODS 2005: 128-138
c11		Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry: On profit-maximizing envy-free pricing. SODA 2005: 1164-1173
c10		Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam Smith, Hoeteck Wee: Toward Privacy in Public Databases. TCC 2005: 363-385
c9		Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar: On Privacy-Preserving Histograms. UAI 2005
c8		Frank McSherry: A uniform approach to accelerated PageRank computation. WWW 2005: 575-582
	2004
c7		Anirban Dasgupta, John E. Hopcroft, Frank McSherry: Spectral Analysis of Random Graphs with Skewed Degree Distributions. FOCS 2004: 602-610
c6		David Kempe, Frank McSherry: A decentralized algorithm for spectral analysis. STOC 2004: 561-568
	2001
c5		Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry: Web Search via Hub Synthesis. FOCS 2001: 500-509
c4		Frank McSherry: Spectral Partitioning of Random Graphs. FOCS 2001: 529-537
c3		Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf: Sampling Techniques for Kernel Methods. NIPS 2001: 335-342
c2		Dimitris Achlioptas, Frank McSherry: Fast computation of low rank matrix. STOC 2001: 611-618
c1		Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia: Spectral analysis of data. STOC 2001: 619-626

Coauthor Index

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