Differentially Private Sampling from Distributions

15 November 2022

Papers citing "Differentially Private Sampling from Distributions"

7 / 7 papers shown

Title
Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions Naima Tasnim Atefeh Gilani Lalitha Sankar O. Kosut 14 0 0 20 Apr 2025
Optimal Differentially Private Sampling of Unbounded Gaussians Valentio Iverson Gautam Kamath Argyris Mouzakis 51 0 0 03 Mar 2025
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park Shahab Asoodeh Si-Hyeon Lee 38 1 0 30 Oct 2024
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes Naty Peter Eliad Tsfadia Jonathan R. Ullman 43 4 0 14 Jul 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 34 12 0 21 Apr 2023
Private measures, random walks, and synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin 25 0 0 20 Apr 2022
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 149 0 01 May 2018