Differentially Private Low-dimensional Synthetic Data from
High-dimensional Datasets

Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets

26 May 2023

Thomas Strohmer

Roman Vershynin

Papers citing "Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets"

5 / 5 papers shown

Title
Online Differentially Private Synthetic Data Generation Yiyun He Roman Vershynin Yizhe Zhu SyDa 13 2 0 12 Feb 2024
Private sampling: a noiseless approach for generating differentially private synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin SyDa 27 14 0 30 Sep 2021
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data M. Boedihardjo Thomas Strohmer Roman Vershynin 28 23 0 13 Jul 2021
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 37 75 0 18 Feb 2021
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 62 147 0 01 May 2018