On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians

19 October 2020

Papers citing "On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians"

9 / 9 papers shown

Title
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 67 0 0 03 Feb 2025
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 44 58 0 14 Apr 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 48 99 0 21 Feb 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 59 74 0 06 Jun 2019
Private Hypothesis Selection Mark Bun Gautam Kamath Thomas Steinke Zhiwei Steven Wu 30 90 0 30 May 2019
The total variation distance between high-dimensional Gaussians with the same mean Luc Devroye Abbas Mehrabian Tommy Reddad 45 225 0 19 Oct 2018
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 57 73 0 10 Apr 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 200 4,075 0 18 Oct 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 54 1,977 0 25 Jul 2014