Data Heterogeneity Differential Privacy: From Theory to Algorithm

Data Heterogeneity Differential Privacy: From Theory to Algorithm

20 February 2020

Jian Li

Papers citing "Data Heterogeneity Differential Privacy: From Theory to Algorithm"

6 / 6 papers shown

Title
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 53 13 0 19 Jul 2021
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 55 58 0 29 Oct 2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM Bao Wang Quanquan Gu M. Boedihardjo Farzin Barekat Stanley J. Osher 64 25 0 28 Jun 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 134 2,854 0 14 Mar 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
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 135 738 0 19 Mar 2014