Minimax Optimal Procedures for Locally Private Estimation

8 April 2016

Papers citing "Minimax Optimal Procedures for Locally Private Estimation"

18 / 18 papers shown

Title
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing Theshani Nuradha Mark M. Wilde 54 7 0 26 Jun 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling Shaowei Wang Changyu Dong Xiangfu Song Jin Li Zhili Zhou Di Wang Han Wu 74 0 0 26 Jun 2024
Locally Private Estimation with Public Features Yuheng Ma Ke Jia Hanfang Yang 62 3 0 22 May 2024
Distance-based and continuum Fano inequalities with applications to statistical estimation John C. Duchi Martin J. Wainwright 58 66 0 12 Nov 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation John C. Duchi Michael I. Jordan Martin J. Wainwright 67 147 0 26 May 2013
Privacy Aware Learning John C. Duchi Michael I. Jordan Martin J. Wainwright 140 290 0 07 Oct 2012
Random Differential Privacy Rob Hall Alessandro Rinaldo Larry A. Wasserman 88 91 0 12 Dec 2011
On the Fundamental Limits of Adaptive Sensing E. Arias-Castro Emmanuel J. Candes Mark A. Davenport 127 137 0 20 Nov 2011
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 106 560 0 16 Sep 2011
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 81 550 0 10 Sep 2011
Distributed Private Data Analysis: On Simultaneously Solving How and What A. Beimel Kobbi Nissim Eran Omri FedML 101 208 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 342 1,377 0 13 Oct 2010
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 100 1,482 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 91 293 0 30 Nov 2009
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 108 462 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 100 482 0 16 Nov 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 106 1,459 0 06 Mar 2008
Composition Attacks and Auxiliary Information in Data Privacy S. R. Ganta S. Kasiviswanathan Adam D. Smith 117 422 0 01 Mar 2008