Score Attack: A Lower Bound Technique for Optimal Differentially Private
Learning

Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning

13 March 2023

T. Tony Cai

Papers citing "Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning"

11 / 11 papers shown

Title
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm Xintao Xia Linjun Zhang Zhanrui Cai 47 0 0 16 Jan 2024
Ranking Differential Privacy Shi Xu W. Sun Guang Cheng 64 1 0 02 Jan 2023
Distributed Differentially Private Ranking Aggregation Baobao Song Qiujun Lan Yang Li Gang Li FedML 31 3 0 07 Feb 2022
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 52 58 0 14 Apr 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 57 99 0 21 Feb 2020
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 70 73 0 10 Apr 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 221 4,075 0 18 Oct 2016
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence Nihar B. Shah Sivaraman Balakrishnan Joseph K. Bradley Abhay K. Parekh Kannan Ramchandran Martin J. Wainwright 126 164 0 06 May 2015
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 219 516 0 10 May 2013
Rank Centrality: Ranking from Pair-wise Comparisons S. Negahban Sewoong Oh Devavrat Shah 89 223 0 08 Sep 2012
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 312 1,377 0 13 Oct 2010