The Structure of Optimal Private Tests for Simple Hypotheses

27 November 2018

Papers citing "The Structure of Optimal Private Tests for Simple Hypotheses"

21 / 21 papers shown

Title
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing Theshani Nuradha Mark M. Wilde 39 6 0 26 Jun 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 43 0 0 09 Dec 2023
The Test of Tests: A Framework For Differentially Private Hypothesis Testing Zeki Kazan Kaiyan Shi Adam Groce Andrew Bray 25 9 0 08 Feb 2023
Contraction of Locally Differentially Private Mechanisms S. Asoodeh Huanyu Zhang 26 10 0 24 Oct 2022
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach R. Friedberg Ryan M. Rogers 29 3 0 17 Aug 2022
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi Salil P. Vadhan FedML 40 11 0 29 Jun 2022
Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities Ankit Pensia Varun Jog Po-Ling Loh 29 8 0 06 Jun 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size Wanrong Zhang Y. Mei Rachel Cummings 22 0 0 10 Apr 2022
Private High-Dimensional Hypothesis Testing Shyam Narayanan FedML 40 11 0 03 Mar 2022
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington Xi He James Honaker Gautam Kamath 28 26 0 27 Oct 2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy Aleksandra B. Slavkovic Roberto Molinari 17 5 0 05 Aug 2021
A Primer on Private Statistics Gautam Kamath Jonathan R. Ullman 38 48 0 30 Apr 2020
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 23 57 0 14 Apr 2020
The power of synergy in differential privacy: Combining a small curator with local randomizers A. Beimel Aleksandra Korolova Kobbi Nissim Or Sheffet Uri Stemmer 34 14 0 18 Dec 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 47 74 0 06 Jun 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 37 36 0 28 May 2019
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 29 23 0 23 May 2019
The Role of Interactivity in Local Differential Privacy Matthew Joseph Jieming Mao Seth Neel Aaron Roth 33 65 0 07 Apr 2019
Profile-Based Privacy for Locally Private Computations J. Geumlek Kamalika Chaudhuri 21 17 0 21 Jan 2019
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 45 138 0 07 Feb 2016
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity Vitaly Feldman David Xiao 175 71 0 25 Feb 2014