Követés
Kamalika Chaudhuri
Kamalika Chaudhuri
Professor of Computer Science, UCSD. Research Scientist, Meta AI
E-mail megerősítve itt: ucsd.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Differentially private empirical risk minimization
K Chaudhuri, C Monteleoni, AD Sarwate
Journal of machine learning research: JMLR 12, 1069, 2011
2071*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
9192009
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
7612013
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
5992007
A Near-Optimal Algorithm for Differentially-Private Principal Components
K Chaudhuri, AD Sarwate, K Sinha
Journal of Machine Learning Research 14, 2905-2943, 2013
359*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
3202003
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
2922020
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
2692017
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
2572013
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
2572012
Paths, trees, and minimum latency tours
K Chaudhuri, B Godfrey, S Rao, K Talwar
Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE …, 2003
2222003
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
2162004
Rates of convergence for the cluster tree
K Chaudhuri, S Dasgupta
Advances in Neural Information Processing Systems, 343-351, 2010
213*2010
Pufferfish Privacy Mechanisms for Correlated Data
S Song, Y Wang, K Chaudhuri
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
1752017
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
1692021
Rates of convergence for nearest neighbor classification
K Chaudhuri, S Dasgupta
Advances in Neural Information Processing Systems 27, 3437-3445, 2014
1622014
A parameter-free hedging algorithm
K Chaudhuri, Y Freund, DJ Hsu
Advances in neural information processing systems 22, 297-305, 2009
1622009
Analyzing the robustness of nearest neighbors to adversarial examples
Y Wang, S Jha, K Chaudhuri
International Conference on Machine Learning, 5133-5142, 2018
1602018
Sample Complexity Bounds for Differentially Private Learning.
K Chaudhuri, D Hsu
COLT 19, 155-186, 2011
1482011
Approximation and convergence properties of generative adversarial learning
S Liu, O Bousquet, K Chaudhuri
Advances in Neural Information Processing Systems 30, 5545-5553, 2017
1452017
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Cikkek 1–20