Privacy-preserving parametric inference: a case for robust statistics

22 November 2019

Papers citing "Privacy-preserving parametric inference: a case for robust statistics"

22 / 22 papers shown

Title
Pre-Training Estimators for Structural Models: Application to Consumer Search Yanhao 'Max' Wei Zhenling Jiang 80 0 0 01 May 2025
Differentially private sub-Gaussian location estimators Marco Avella-Medina Victor-Emmanuel Brunel 23 18 0 27 Jun 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 58 36 0 28 May 2019
Differentially Private Inference for Binomial Data Jordan Awan Aleksandra B. Slavkovic 24 24 0 31 Mar 2019
The Structure of Optimal Private Tests for Simple Hypotheses C. Canonne Gautam Kamath Audra McMillan Adam D. Smith Jonathan R. Ullman 46 72 0 27 Nov 2018
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 60 48 0 06 Sep 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 53 53 0 23 May 2018
Locally Private Hypothesis Testing Or Sheffet 44 52 0 09 Feb 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 170 6,069 0 01 Jul 2016
Minimax Optimal Procedures for Locally Private Estimation John C. Duchi Martin J. Wainwright Michael I. Jordan 63 434 0 08 Apr 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 52 139 0 07 Feb 2016
Differentially Private Ordinary Least Squares Or Sheffet 36 116 0 09 Jul 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu Wang S. Fienberg Alex Smola 46 248 0 26 Feb 2015
Bayesian Differential Privacy through Posterior Sampling Christos Dimitrakakis B. Nelson and Zuhe Zhang Aikaterini Mitrokotsa Benjamin I. P. Rubinstein 51 118 0 05 Jun 2013
Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri Daniel J. Hsu FedML 48 50 0 27 Jun 2012
Privacy-Preserving Data Sharing for Genome-Wide Association Studies Caroline Uhler Aleksandra B. Slavkovic S. Fienberg 60 151 0 03 May 2012
Random Differential Privacy Rob Hall Alessandro Rinaldo Larry A. Wasserman 72 89 0 12 Dec 2011
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 107 462 0 10 Sep 2010
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 89 482 0 16 Nov 2008
Efficient, Differentially Private Point Estimators Adam D. Smith FedML 57 78 0 27 Sep 2008
Consistency and robustness of kernel-based regression in convex risk minimization A. Christmann Ingo Steinwart 136 119 0 05 Sep 2007