Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

7 February 2016

Papers citing "Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing"

23 / 23 papers shown

Title
On Differentially Private U Statistics Kamalika Chaudhuri Po-Ling Loh Shourya Pandey Purnamrita Sarkar FedML 54 0 0 06 Jul 2024
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 19 1 0 19 Sep 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 19 4 0 14 May 2023
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 independence testing across two parties Praneeth Vepakomma M. Amiri C. Canonne Ramesh Raskar Alex Pentland 15 2 0 08 Jul 2022
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi Salil P. Vadhan FedML 14 12 0 29 Jun 2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao P. Ju Jordan Awan Ruobin Gong Vinayak A. Rao 8 24 0 01 Jun 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size Wanrong Zhang Y. Mei Rachel Cummings 16 0 0 10 Apr 2022
Private High-Dimensional Hypothesis Testing Shyam Narayanan FedML 25 11 0 03 Mar 2022
Private measurement of nonlinear correlations between data hosted across multiple parties Praneeth Vepakomma Subha Nawer Pushpita Ramesh Raskar 9 2 0 19 Oct 2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy Aleksandra B. Slavkovic Roberto Molinari 11 5 0 05 Aug 2021
Differentially private inference via noisy optimization Marco Avella-Medina Casey Bradshaw Po-Ling Loh FedML 25 29 0 19 Mar 2021
A Primer on Private Statistics Gautam Kamath Jonathan R. Ullman 33 48 0 30 Apr 2020
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint Joseph Lam-Weil Béatrice Laurent Jean-Michel Loubes 23 8 0 11 Feb 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 34 75 0 06 Jun 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 24 36 0 28 May 2019
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 31 52 0 23 May 2018
Differentially Private Confidence Intervals for Empirical Risk Minimization Yue Wang Daniel Kifer Jaewoo Lee 14 33 0 11 Apr 2018
Locally Private Hypothesis Testing Or Sheffet 13 52 0 09 Feb 2018
Differentially Private Identity and Closeness Testing of Discrete Distributions Maryam Aliakbarpour Ilias Diakonikolas R. Rubinfeld FedML 31 14 0 18 Jul 2017
PrivÍT: Private and Sample Efficient Identity Testing Bryan Cai C. Daskalakis Gautam Kamath 21 51 0 29 Mar 2017
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 33 82 0 13 Apr 2016