| Differentially private empirical risk minimization K Chaudhuri, C Monteleoni, AD Sarwate Journal of machine learning research: JMLR 12, 1069, 2011 | 1737* | 2011 |
| Multi-view clustering via canonical correlation analysis K Chaudhuri, SM Kakade, K Livescu, K Sridharan Proceedings of the 26th annual international conference on machine learning …, 2009 | 847 | 2009 |
| Stochastic gradient descent with differentially private updates S Song, K Chaudhuri, AD Sarwate 2013 IEEE Global Conference on Signal and Information Processing, 245-248, 2013 | 568 | 2013 |
| 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 | 547 | 2007 |
| A Near-Optimal Algorithm for Differentially-Private Principal Components K Chaudhuri, AD Sarwate, K Sinha Journal of Machine Learning Research 14, 2905-2943, 2013 | 315* | 2013 |
| Location determination of a mobile device using IEEE 802.11 b access point signals S Saha, K Chaudhuri, D Sanghi, P Bhagwat Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE 3, 1987-1992, 2003 | 311 | 2003 |
| Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model. K Chaudhuri, FC Graham, A Tsiatas Journal of Machine Learning Research-Proceedings Track 23, 35.1-35.23, 2012 | 241 | 2012 |
| Signal processing and machine learning with differential privacy: Algorithms and challenges for continuous data AD Sarwate, K Chaudhuri IEEE signal processing magazine 30 (5), 86-94, 2013 | 233 | 2013 |
| Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics X Wu, F Li, A Kumar, K Chaudhuri, S Jha, J Naughton Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 226 | 2017 |
| Paths, trees, and minimum latency tours K Chaudhuri, B Godfrey, S Rao, K Talwar Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE …, 2003 | 219 | 2003 |
| Selfish caching in distributed systems: a game-theoretic analysis BG Chun, K Chaudhuri, H Wee, M Barreno, CH Papadimitriou, ... Proceedings of the twenty-third annual ACM symposium on Principles of …, 2004 | 211 | 2004 |
| Rates of convergence for the cluster tree K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems, 343-351, 2010 | 195* | 2010 |
| A closer look at accuracy vs. robustness YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri Advances in Neural Information Processing Systems 33, 2020 | 176 | 2020 |
| A parameter-free hedging algorithm K Chaudhuri, Y Freund, DJ Hsu Advances in neural information processing systems 22, 297-305, 2009 | 157 | 2009 |
| Rates of convergence for nearest neighbor classification K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems 27, 3437-3445, 2014 | 142 | 2014 |
| Analyzing the robustness of nearest neighbors to adversarial examples Y Wang, S Jha, K Chaudhuri International Conference on Machine Learning, 5133-5142, 2018 | 140 | 2018 |
| Approximation and convergence properties of generative adversarial learning S Liu, O Bousquet, K Chaudhuri Advances in Neural Information Processing Systems 30, 5545-5553, 2017 | 138 | 2017 |
| Pufferfish Privacy Mechanisms for Correlated Data S Song, Y Wang, K Chaudhuri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 137* | 2017 |
| iDASH: integrating data for analysis, anonymization, and sharing L Ohno-Machado, V Bafna, AA Boxwala, BE Chapman, WW Chapman, ... Journal of the American Medical Informatics Association 19 (2), 196-201, 2011 | 131 | 2011 |
| When random sampling preserves privacy K Chaudhuri, N Mishra Advances in Cryptology-CRYPTO 2006: 26th Annual International Cryptology …, 2006 | 124 | 2006 |
Anand SarwateAssociate Professor, Rutgers UniversityVerified email at rutgers.edu
