Differentially private empirical risk minimization. K Chaudhuri, C Monteleoni, AD Sarwate Journal of Machine Learning Research 12 (3), 2011 | 2153* | 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 | 950 | 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 | 806 | 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 | 619 | 2007 |
A near-optimal algorithm for differentially-private principal components. K Chaudhuri, AD Sarwate, K Sinha Journal of Machine Learning Research 14, 2013 | 366* | 2013 |
A closer look at accuracy vs. robustness YY Yang, C Rashtchian, H Zhang, RR Salakhutdinov, K Chaudhuri Advances in neural information processing systems 33, 8588-8601, 2020 | 338 | 2020 |
Location determination of a mobile device using IEEE 802.11 b access point signals S Saha, K Chaudhuri, D Sanghi, P Bhagwat 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003. 3, 1987-1992, 2003 | 314 | 2003 |
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 | 281 | 2017 |
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 | 271 | 2013 |
Spectral clustering of graphs with general degrees in the extended planted partition model K Chaudhuri, F Chung, A Tsiatas Conference on Learning Theory, 35.1-35.23, 2012 | 264 | 2012 |
Paths, trees, and minimum latency tours K Chaudhuri, B Godfrey, S Rao, K Talwar 44th Annual IEEE Symposium on Foundations of Computer Science, 2003 …, 2003 | 225 | 2003 |
Consistent procedures for cluster tree estimation and pruning K Chaudhuri, S Dasgupta, S Kpotufe, U Von Luxburg IEEE Transactions on Information Theory 60 (12), 7900-7912, 2014 | 219* | 2014 |
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 | 219 | 2004 |
Approximate data deletion from machine learning models Z Izzo, MA Smart, K Chaudhuri, J Zou International Conference on Artificial Intelligence and Statistics, 2008-2016, 2021 | 216 | 2021 |
Pufferfish privacy mechanisms for correlated data S Song, Y Wang, K Chaudhuri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 184 | 2017 |
Rates of convergence for nearest neighbor classification K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems 27, 2014 | 168 | 2014 |
Analyzing the robustness of nearest neighbors to adversarial examples Y Wang, S Jha, K Chaudhuri International Conference on Machine Learning, 5133-5142, 2018 | 167 | 2018 |
A parameter-free hedging algorithm K Chaudhuri, Y Freund, DJ Hsu Advances in neural information processing systems 22, 2009 | 164 | 2009 |
Exploring connections between active learning and model extraction V Chandrasekaran, K Chaudhuri, I Giacomelli, S Jha, S Yan 29th USENIX Security Symposium (USENIX Security 20), 1309-1326, 2020 | 159 | 2020 |
Sample complexity bounds for differentially private learning K Chaudhuri, D Hsu Proceedings of the 24th Annual Conference on Learning Theory, 155-186, 2011 | 153 | 2011 |