FriendlyCore: Practical Differentially Private Aggregation

FriendlyCore: Practical Differentially Private Aggregation

19 October 2021

Papers citing "FriendlyCore: Practical Differentially Private Aggregation"

19 / 19 papers shown

Title
Differentially-Private Clustering of Easy Instances E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer Eliad Tsfadia 59 24 0 29 Dec 2021
Private Robust Estimation by Stabilizing Convex Relaxations Pravesh Kothari Pasin Manurangsi A. Velingker 57 47 0 07 Dec 2021
Private and polynomial time algorithms for learning Gaussians and beyond H. Ashtiani Christopher Liaw 90 48 0 22 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 79 40 0 08 Nov 2021
Differentially Private Algorithms for Clustering with Stability Assumptions M. Shechner 47 2 0 11 Jun 2021
Instance-optimal Mean Estimation Under Differential Privacy Ziyue Huang Yuting Liang K. Yi 53 57 0 01 Jun 2021
Privately Learning Subspaces Vikrant Singhal Thomas Steinke 50 20 0 28 May 2021
Learning with User-Level Privacy Daniel Levy Ziteng Sun Kareem Amin Satyen Kale Alex Kulesza M. Mohri A. Suresh FedML 59 90 0 23 Feb 2021
CoinPress: Practical Private Mean and Covariance Estimation Sourav Biswas Yihe Dong Gautam Kamath Jonathan R. Ullman 58 116 0 11 Jun 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 78 100 0 21 Feb 2020
Differentially Private Confidence Intervals Wenxin Du C. Foot Monica Moniot Andrew Bray Adam Groce 52 46 0 07 Jan 2020
Privately Learning Thresholds: Closing the Exponential Gap Haim Kaplan Katrina Ligett Yishay Mansour M. Naor Uri Stemmer 61 56 0 22 Nov 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians Gautam Kamath Or Sheffet Vikrant Singhal Jonathan R. Ullman FedML 58 48 0 09 Sep 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 69 75 0 06 Jun 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 90 151 0 01 May 2018
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 58 193 0 10 Nov 2017
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 833 0 06 May 2016
Locating a Small Cluster Privately Kobbi Nissim Uri Stemmer Salil P. Vadhan 39 54 0 19 Apr 2016
Differentially Private Release and Learning of Threshold Functions Mark Bun Kobbi Nissim Uri Stemmer Salil P. Vadhan 71 196 0 28 Apr 2015

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