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    Author information
    First name: Frank
    Last name: McSherry
    Company: Microsoft
    DBLP: 59/563
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    Below you find the publications which have been written by this author.

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    Conference paper
    Dennis Fetterly, Frank McSherry.
    A data-parallel toolkit for information retrieval.
    Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010 2010 (0) 2010
    Conference paper
    David Kempe, Frank McSherry.
    A decentralized algorithm for spectral analysis.
    J. Comput. Syst. Sci. 2008, Volume 74 (0) 2008
    Conference paper
    David Kempe, Frank McSherry.
    A decentralized algorithm for spectral analysis.
    Proceedings of the 36th Annual ACM Symposium on Theory of Computing, Chicago, IL, USA, June 13-16, 2004 2004 (0) 2004
    Conference paper
    Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien.
    A First Look at Peer-to-Peer Worms: Threats and Defenses.
    Peer-to-Peer Systems IV, 4th International Workshop, IPTPS 2005, Ithaca, NY, USA, February 24-25, 2005, Revised Selected Papers 2005 (0) 2005
    Journal article
    Moritz Hardt, Katrina Ligett, Frank McSherry.
    A simple and practical algorithm for differentially private data release
    CoRR 2010, Volume 0 (0) 2010
    Conference paper
    Moritz Hardt, Katrina Ligett, Frank McSherry.
    A Simple and Practical Algorithm for Differentially Private Data Release.
    Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012 (0) 2012
    Conference paper
    Frank McSherry.
    A uniform approach to accelerated PageRank computation.
    Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, May 10-14, 2005 2005 (0) 2005
    Conference paper
    Davide Proserpio, Sharon Goldberg, Frank McSherry.
    A Workflow for Differentially-Private Graph Synthesis
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith.
    Calibrating Noise to Sensitivity in Private Data Analysis.
    Theory of Cryptography, Third Theory of Cryptography Conference, TCC 2006, New York, NY, USA, March 4-7, 2006, Proceedings 2006 (0) 2006
    Conference paper
    Frank McSherry, Marc Najork.
    Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores.
    Advances in Information Retrieval , 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings 2008 (0) 2008
    Conference paper
    Philippe Golle, Frank McSherry, Ilya Mironov.
    Data Collection with Self-Enforcing Privacy.
    ACM Trans. Inf. Syst. Secur. 2008, Volume 12 (0) 2008
    Conference paper
    Philippe Golle, Frank McSherry, Ilya Mironov.
    Data collection with self-enforcing privacy.
    Proceedings of the 13th ACM Conference on Computer and Communications Security, CCS 2006, Alexandria, VA, USA, Ioctober 30 - November 3, 2006 2006 (0) 2006
    Conference paper
    Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard.
    Differential Dataflow.
    CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013 (0) 2013
    Conference paper
    Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar.
    Differentially Private Approximation Algorithms
    CoRR 2009, Volume 0 (0) 2009
    Conference paper
    Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar.
    Differentially Private Combinatorial Optimization.
    Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2010, Austin, Texas, USA, January 17-19, 2010 2010 (0) 2010
    Conference paper
    Frank McSherry, Ilya Mironov.
    Differentially private recommender systems: building privacy into the net.
    Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009 2009 (0) 2009
    Conference paper
    Frank McSherry, Ratul Mahajan.
    Differentially-private network trace analysis.
    Proceedings of the ACM SIGCOMM 2010 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, New Delhi, India, August 30 -September 3, 2010 2010 (0) 2010
    Conference paper
    Dimitris Achlioptas, Frank McSherry.
    Fast computation of low rank matrix.
    STOC 2001 (0) 2001
    Conference paper
    Dimitris Achlioptas, Frank McSherry.
    Fast computation of low-rank matrix approximations.
    J. ACM 2007, Volume 54 (0) 2007
    Conference paper
    Martín Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer.
    Formal Analysis of a Distributed Algorithm for Tracking Progress.
    Formal Techniques for Distributed Systems - Joint IFIP WG 6.1 International Conference, FMOODS/FORTE 2013, Held as Part of the 8th International Federated Conference on Distributed Computing Techniques, DisCoTec 2013, Florence, Italy, June 3-5, 2013. Proc 2013 (0) 2013
    Conference paper
    Frank McSherry, Kunal Talwar.
    Mechanism Design via Differential Privacy.
    48th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2007), October 20-23, 2007, Providence, RI, USA, Proceedings 2007 (0) 2007
    Conference paper
    Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar.
    On Privacy-Preserving Histograms
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar.
    On Privacy-Preserving Histograms.
    UAI '05, Proceedings of the 21st Conference in Uncertainty in Artificial Intelligence, Edinburgh, Scotland, July 26-29, 2005 2005 (0) 2005
    Conference paper
    Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Mathieu, Frank McSherry.
    On profit-maximizing envy-free pricing.
    Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2005, Vancouver, British Columbia, Canada, January 23-25, 2005 2005 (0) 2005
    Conference paper
    Dimitris Achlioptas, Frank McSherry.
    On Spectral Learning of Mixtures of Distributions.
    Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor.
    Our Data, Ourselves: Privacy Via Distributed Noise Generation.
    Advances in Cryptology - EUROCRYPT 2006, 25th Annual International Conference on the Theory and Applications of Cryptographic Techniques, St. Petersburg, Russia, May 28 - June 1, 2006, Proceedings 2006 (0) 2006
    Conference paper
    Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim.
    Practical privacy: the SuLQ framework.
    Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 13-15, 2005, Baltimore, Maryland, USA 2005 (0) 2005
    Conference paper
    Frank McSherry.
    Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis
    ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009 2009, Research (0) 2009
    Conference paper
    Frank McSherry.
    Privacy integrated queries: an extensible platform for privacy-preserving data analysis.
    Commun. CACM 2010, Volume 53 (0) 2010
    Conference paper
    Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar.
    Privacy, accuracy, and consistency too: a holistic solution to contingency table release.
    Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 11-13, 2007, Beijing, China 2007 (0) 2007
    Conference paper
    Oliver Williams, Frank McSherry.
    Probabilistic Inference and Differential Privacy.
    Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. 2010 (0) 2010
    Conference paper
    Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf.
    Sampling Techniques for Kernel Methods.
    Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada] 2001 (0) 2001
    Journal article
    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. 2009, Volume 39 (0) 2009
    Conference paper
    Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia.
    Spectral analysis of data.
    STOC 2001 (0) 2001
    Conference paper
    Anirban Dasgupta, John E. Hopcroft, Frank McSherry.
    Spectral Analysis of Random Graphs with Skewed Degree Distributions.
    45th Symposium on Foundations of Computer Science (FOCS 2004), 17-19 October 2004, Rome, Italy, Proceedings 2004 (0) 2004
    Conference paper
    Frank McSherry.
    Spectral Partitioning of Random Graphs.
    FOCS 2001 (0) 2001
    Conference paper
    Cynthia Dwork, Frank McSherry, Kunal Talwar.
    The price of privacy and the limits of LP decoding.
    Proceedings of the 39th Annual ACM Symposium on Theory of Computing, San Diego, California, USA, June 11-13, 2007 2007 (0) 2007
    Conference paper
    Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee.
    Toward Privacy in Public Databases.
    Theory of Cryptography, Second Theory of Cryptography Conference, TCC 2005, Cambridge, MA, USA, February 10-12, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry.
    Web Search via Hub Synthesis.
    FOCS 2001 (0) 2001
    Show item 1 to 39 of 39  

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