Private Identity Testing for High-Dimensional Distributions

28 May 2019

Papers citing "Private Identity Testing for High-Dimensional Distributions"

9 / 9 papers shown

Title
The Test of Tests: A Framework For Differentially Private Hypothesis Testing Zeki Kazan Kaiyan Shi Adam Groce Andrew Bray 16 9 0 08 Feb 2023
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach R. Friedberg Ryan M. Rogers 16 3 0 17 Aug 2022
Private High-Dimensional Hypothesis Testing Shyam Narayanan FedML 25 11 0 03 Mar 2022
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians Sami Davies A. Mazumdar S. Pal Cyrus Rashtchian 25 11 0 02 Sep 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 16 48 0 24 Jun 2021
A Primer on Private Statistics Gautam Kamath Jonathan R. Ullman 33 48 0 30 Apr 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 34 75 0 06 Jun 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 62 148 0 01 May 2018
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 45 137 0 07 Feb 2016