Differentially Private Uniformly Most Powerful Tests for Binomial Data

23 May 2018

Papers citing "Differentially Private Uniformly Most Powerful Tests for Binomial Data"

12 / 12 papers shown

Title
General Inferential Limits Under Differential and Pufferfish Privacy J. Bailie Ruobin Gong 21 1 0 27 Jan 2024
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
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression Jayshree Sarathy Salil P. Vadhan 18 7 0 27 Jul 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
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy Aleksandra B. Slavkovic Roberto Molinari 9 13 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
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 24 36 0 28 May 2019
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 8 23 0 23 May 2019
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 14 99 0 08 Dec 2018
Geometrizing rates of convergence under local differential privacy constraints Angelika Rohde Lukas Steinberger 23 10 0 03 May 2018
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 42 137 0 07 Feb 2016