Kamalika Chaudhuri

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Anand SarwateAssociate Professor, Rutgers UniversityVerified email at rutgers.edu
Kunal TalwarAppleVerified email at kunaltalwar.org
Satish B RaoVerified email at berkeley.edu
Shuang SongUniversity of California San DiegoVerified email at eng.ucsd.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Chicheng ZhangUniversity of ArizonaVerified email at cs.arizona.edu
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu
Sanjoy DasguptaProfessor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
James FouldsUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Yizhen WangUniversity of California, San DiegoVerified email at eng.ucsd.edu
Tara JavidiProfessor of Electrical and Computer Engineering, UCSDVerified email at eng.ucsd.edu
Satyen KaleStaff Research Scientist, Google ResearchVerified email at google.com
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Frank McSherryMaterialize, Inc.Verified email at materialize.io
Boaz BarakHarvard UniversityVerified email at boazbarak.org
Samantha RiesenfeldPostdoctoral Fellow, Broad Institute of Harvard and MITVerified email at broadinstitute.org
Robert TarjanProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Songbai YanUniversity of California San DiegoVerified email at eng.ucsd.edu

Kamalika Chaudhuri

Associate Professor of Computer Science, University of California, San Diego

Verified email at eng.ucsd.edu - Homepage

Machine Learning Privacy Interactive Learning Unsupervised Learning Adversarial Learning


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Differentially private empirical risk minimization K Chaudhuri, C Monteleoni, AD Sarwate Journal of machine learning research: JMLR 12, 1069, 2011	1244*	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	717	2009
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	472	2007
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	324	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	294	2003
A Near-Optimal Algorithm for Differentially-Private Principal Components K Chaudhuri, AD Sarwate, K Sinha Journal of Machine Learning Research 14, 2905-2943, 2013	245*	2013
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	207	2004
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	206	2012
Paths, trees, and minimum latency tours K Chaudhuri, B Godfrey, S Rao, K Talwar Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE …, 2003	191	2003
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	178	2013
Rates of convergence for the cluster tree K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems, 343-351, 2010	154*	2010
A parameter-free hedging algorithm K Chaudhuri, Y Freund, DJ Hsu Advances in neural information processing systems 22, 297-305, 2009	130	2009
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	126*	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	120	2011
Rates of convergence for nearest neighbor classification K Chaudhuri, S Dasgupta Advances in Neural Information Processing Systems 27, 3437-3445, 2014	104	2014
When random sampling preserves privacy K Chaudhuri, N Mishra Annual International Cryptology Conference, 198-213, 2006	98	2006
Approximation and convergence properties of generative adversarial learning S Liu, O Bousquet, K Chaudhuri Advances in Neural Information Processing Systems 30, 5545-5553, 2017	94	2017
Sample Complexity Bounds for Differentially Private Learning. K Chaudhuri, D Hsu COLT 19, 155-186, 2011	90	2011
Pufferfish Privacy Mechanisms for Correlated Data S Song, Y Wang, K Chaudhuri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017	85*	2017
Analyzing the robustness of nearest neighbors to adversarial examples Y Wang, S Jha, K Chaudhuri International Conference on Machine Learning, 5133-5142, 2018	84	2018

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