| Calibrating noise to sensitivity in private data analysis C Dwork, F McSherry, K Nissim, A Smith Theory of cryptography conference, 265-284, 2006 | 6386 | 2006 |
| Mechanism design via differential privacy F McSherry, K Talwar 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 94-103, 2007 | 2230 | 2007 |
| Our data, ourselves: Privacy via distributed noise generation C Dwork, K Kenthapadi, F McSherry, I Mironov, M Naor Annual international conference on the theory and applications of …, 2006 | 1678 | 2006 |
| Privacy integrated queries: an extensible platform for privacy-preserving data analysis FD McSherry Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 1419 | 2009 |
| Naiad: a timely dataflow system DG Murray, F McSherry, R Isaacs, M Isard, P Barham, M Abadi Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013 | 954 | 2013 |
| Practical privacy: the SuLQ framework A Blum, C Dwork, F McSherry, K Nissim Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on …, 2005 | 903 | 2005 |
| Differentially private recommender systems: Building privacy into the netflix prize contenders F McSherry, I Mironov Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 841 | 2009 |
| Spectral partitioning of random graphs F McSherry Proceedings 42nd IEEE Symposium on Foundations of Computer Science, 529-537, 2001 | 669 | 2001 |
| Fast computation of low-rank matrix approximations D Achlioptas, F McSherry Journal of the ACM (JACM) 54 (2), 9-es, 2007 | 572 | 2007 |
| Privacy, accuracy, and consistency too: a holistic solution to contingency table release B Barak, K Chaudhuri, C Dwork, S Kale, F McSherry, K Talwar Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on …, 2007 | 534 | 2007 |
| A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry Advances in neural information processing systems 25, 2012 | 433 | 2012 |
| On profit-maximizing envy-free pricing. V Guruswami, JD Hartline, AR Karlin, D Kempe, C Kenyon, F McSherry SODA 5, 1164-1173, 2005 | 389 | 2005 |
| Scalability! but at what {COST}? F McSherry, M Isard, DG Murray 15th Workshop on Hot Topics in Operating Systems (HotOS XV), 2015 | 372 | 2015 |
| Toward privacy in public databases S Chawla, C Dwork, F McSherry, A Smith, H Wee Theory of Cryptography Conference, 363-385, 2005 | 362 | 2005 |
| Spectral analysis of data Y Azar, A Fiat, A Karlin, F McSherry, J Saia Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001 | 357 | 2001 |
| A decentralized algorithm for spectral analysis D Kempe, F McSherry Journal of Computer and System Sciences 74 (1), 70-83, 2008 | 327 | 2008 |
| On spectral learning of mixtures of distributions D Achlioptas, F McSherry International Conference on Computational Learning Theory, 458-469, 2005 | 305 | 2005 |
| Sampling techniques for kernel methods D Achlioptas, F McSherry, B Schölkopf Advances in neural information processing systems 14, 2001 | 231 | 2001 |
| The price of privacy and the limits of LP decoding C Dwork, F McSherry, K Talwar Proceedings of the thirty-ninth annual ACM Symposium on Theory of Computing …, 2007 | 212 | 2007 |
| A first look at peer-to-peer worms: Threats and defenses L Zhou, L Zhang, F McSherry, N Immorlica, M Costa, S Chien International Workshop on Peer-to-Peer Systems, 24-35, 2005 | 212 | 2005 |
