Local Privacy, Data Processing Inequalities, and Statistical Minimax
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Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates

13 February 2013

Michael I. Jordan

Martin J. Wainwright

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Papers citing "Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates"

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Title
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 79 486 0 07 Dec 2013
Privacy Aware Learning John C. Duchi Michael I. Jordan Martin J. Wainwright 153 290 0 07 Oct 2012
Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri Daniel J. Hsu FedML 75 50 0 27 Jun 2012
Random Differential Privacy Rob Hall Alessandro Rinaldo Larry A. Wasserman 100 91 0 12 Dec 2011
On the Fundamental Limits of Adaptive Sensing E. Arias-Castro Emmanuel J. Candes Mark A. Davenport 156 137 0 20 Nov 2011
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 117 562 0 16 Sep 2011
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 89 550 0 10 Sep 2011
Lower bounds in differential privacy Anindya De 81 132 0 12 Jul 2011
Distributed Private Data Analysis: On Simultaneously Solving How and What A. Beimel Kobbi Nissim Eran Omri FedML 108 207 0 14 Mar 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 474 1,379 0 13 Oct 2010
Variable selection in measurement error models Yanyuan Ma Runze Li 81 66 0 23 Feb 2010
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 134 1,487 0 01 Dec 2009
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 104 295 0 30 Nov 2009
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 113 464 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 105 485 0 16 Nov 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 137 1,466 0 06 Mar 2008
Composition Attacks and Auxiliary Information in Data Privacy S. R. Ganta S. Kasiviswanathan Adam D. Smith 134 423 0 01 Mar 2008