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Kamalika Chaudhuri
Kamalika Chaudhuri
UCSD, Meta
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Differentially private empirical risk minimization.
K Chaudhuri, C Monteleoni, AD Sarwate
Journal of Machine Learning Research 12 (3), 2011
2172*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
9552009
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
8132013
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
6212007
A near-optimal algorithm for differentially-private principal components.
K Chaudhuri, AD Sarwate, K Sinha
Journal of Machine Learning Research 14, 2013
372*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
3452020
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
3142003
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
2822017
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
2712013
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
2652012
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
2262003
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
2222021
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
221*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
2192004
Pufferfish privacy mechanisms for correlated data
S Song, Y Wang, K Chaudhuri
Proceedings of the 2017 ACM International Conference on Management of Data ¡¦, 2017
1882017
Rates of convergence for nearest neighbor classification
K Chaudhuri, S Dasgupta
Advances in Neural Information Processing Systems 27, 2014
1702014
Analyzing the robustness of nearest neighbors to adversarial examples
Y Wang, S Jha, K Chaudhuri
International Conference on Machine Learning, 5133-5142, 2018
1672018
A parameter-free hedging algorithm
K Chaudhuri, Y Freund, DJ Hsu
Advances in neural information processing systems 22, 2009
1662009
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
1622020
Sample complexity bounds for differentially private learning
K Chaudhuri, D Hsu
Proceedings of the 24th Annual Conference on Learning Theory, 155-186, 2011
1552011
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