Efficient Private SCO for Heavy-Tailed Data via Clipping

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Efficient Private SCO for Heavy-Tailed Data via Clipping

27 June 2022

Bo Han

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Papers citing "Efficient Private SCO for Heavy-Tailed Data via Clipping"

12 / 12 papers shown

Title
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data Lijie Hu Shuo Ni Hanshen Xiao Di Wang 130 53 0 23 Jul 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time Raef Bassily Cristóbal Guzmán Anupama Nandi 119 68 0 01 Mar 2021
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang Hanshen Xiao S. Devadas Jinhui Xu 71 57 0 21 Oct 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 207 179 0 28 Jul 2020
Private Stochastic Convex Optimization: Optimal Rates in Linear Time Vitaly Feldman Tomer Koren Kunal Talwar 73 211 0 10 May 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 87 100 0 21 Feb 2020
Private Stochastic Convex Optimization with Optimal Rates Raef Bassily Vitaly Feldman Kunal Talwar Abhradeep Thakurta 87 246 0 27 Aug 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 103 246 0 10 Jun 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 75 76 0 06 Jun 2019
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm Chi Jin Praneeth Netrapalli Rong Ge Sham Kakade Michael I. Jordan 115 150 0 11 Feb 2019
Robust descent using smoothed multiplicative noise Matthew J. Holland OOD 59 27 0 15 Oct 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 68 689 0 05 Dec 2017

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