An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

14 May 2023

Papers citing "An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions"

6 / 6 papers shown

Title
Efficient and Private Marginal Reconstruction with Local Non-Negativity Brett Mullins Miguel Fuentes Yingtai Xiao Daniel Kifer Cameron Musco Daniel Sheldon 19 1 0 01 Oct 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Danfeng Zhang Daniel Kifer Daniel Kifer 37 2 0 04 Jun 2024
Differentially Private Range Queries with Correlated Input Perturbation Prathamesh Dharangutte Jie Gao Ruobin Gong Guanyang Wang 20 0 0 10 Feb 2024
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation Aleksandar Nikolov Haohua Tang 41 4 0 31 Jan 2023
Leveraging Public Data for Practical Private Query Release Terrance Liu G. Vietri Thomas Steinke Jonathan R. Ullman Zhiwei Steven Wu 148 58 0 17 Feb 2021
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