Privately Learning Subspaces

28 May 2021

Papers citing "Privately Learning Subspaces"

15 / 15 papers shown

Title
Dimension-free Private Mean Estimation for Anisotropic Distributions Yuval Dagan Michael I. Jordan Xuelin Yang Lydia Zakynthinou Nikita Zhivotovskiy 39 2 0 01 Nov 2024
Does SGD really happen in tiny subspaces? Minhak Song Kwangjun Ahn Chulhee Yun 71 4 1 25 May 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 68 4 0 13 Mar 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting Eliad Tsfadia 23 1 0 09 Feb 2024
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes Naty Peter Eliad Tsfadia Jonathan R. Ullman 41 4 0 14 Jul 2023
PLAN: Variance-Aware Private Mean Estimation Martin Aumüller C. Lebeda Boel Nelson Rasmus Pagh FedML 26 4 0 14 Jun 2023
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets Yiyun He Thomas Strohmer Roman Vershynin Yizhe Zhu SyDa 28 1 0 26 May 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions Gavin Brown Samuel B. Hopkins Adam D. Smith FedML 27 17 0 28 Jan 2023
Privately Estimating a Gaussian: Efficient, Robust and Optimal Daniel Alabi Pravesh Kothari Pranay Tankala Prayaag Venkat Fred Zhang 66 0 0 15 Dec 2022
Differentially Private Covariance Revisited Wei Dong Yuting Liang K. Yi FedML 21 13 0 28 May 2022
Private and polynomial time algorithms for learning Gaussians and beyond H. Ashtiani Christopher Liaw 55 44 0 22 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 55 39 0 08 Nov 2021
FriendlyCore: Practical Differentially Private Aggregation Eliad Tsfadia E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer 20 33 0 19 Oct 2021
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 135 120 0 07 Oct 2021
FedPower: Privacy-Preserving Distributed Eigenspace Estimation Xiaoxun Guo Xiang Li Xiangyu Chang Shusen Wang Zhihua Zhang FedML 16 3 0 01 Mar 2021