Privately Learning High-Dimensional Distributions

1 May 2018

Papers citing "Privately Learning High-Dimensional Distributions"

23 / 23 papers shown

Title
On Differentially Private U Statistics Kamalika Chaudhuri Po-Ling Loh Shourya Pandey Purnamrita Sarkar FedML 47 0 0 06 Jul 2024
Private Distribution Learning with Public Data: The View from Sample Compression Shai Ben-David Alex Bie C. Canonne Gautam Kamath Vikrant Singhal 22 11 0 11 Aug 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 29 16 0 13 Mar 2023
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 6 5 0 06 Feb 2023
A Fast Algorithm for Adaptive Private Mean Estimation John C. Duchi Saminul Haque Rohith Kuditipudi FedML 11 15 0 17 Jan 2023
Private Estimation with Public Data Alex Bie Gautam Kamath Vikrant Singhal 13 28 0 16 Aug 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 29 102 0 30 Jun 2022
Private High-Dimensional Hypothesis Testing Shyam Narayanan FedML 14 11 0 03 Mar 2022
Differentially Private Regression with Unbounded Covariates Jason Milionis Alkis Kalavasis Dimitris Fotakis Stratis Ioannidis 11 10 0 19 Feb 2022
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach Mohammad Fereydounian Aryan Mokhtari Ramtin Pedarsani Hamed Hassani FedML 11 2 0 18 Feb 2022
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms Alireza Fallah A. Makhdoumi Azarakhsh Malekian Asuman Ozdaglar FedML 14 29 0 10 Jan 2022
Differential Privacy Over Riemannian Manifolds M. Reimherr Karthik Bharath Carlos Soto 10 17 0 03 Nov 2021
FriendlyCore: Practical Differentially Private Aggregation Eliad Tsfadia E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer 8 33 0 19 Oct 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 14 48 0 24 Jun 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians Ishaq Aden-Ali H. Ashtiani Gautam Kamath 32 41 0 19 Oct 2020
Learning discrete distributions: user vs item-level privacy Yuhan Liu A. Suresh Felix X. Yu Sanjiv Kumar Michael Riley FedML 14 52 0 27 Jul 2020
CoinPress: Practical Private Mean and Covariance Estimation Sourav Biswas Yihe Dong Gautam Kamath Jonathan R. Ullman 14 113 0 11 Jun 2020
A Primer on Private Statistics Gautam Kamath Jonathan R. Ullman 26 48 0 30 Apr 2020
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 11 57 0 14 Apr 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 29 75 0 06 Jun 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 22 36 0 28 May 2019
Locally Private Gaussian Estimation Matthew Joseph Janardhan Kulkarni Jieming Mao Zhiwei Steven Wu FedML 21 38 0 20 Nov 2018
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 37 137 0 07 Feb 2016