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On Differentially Private Subspace Estimation in a Distribution-Free Setting

On Differentially Private Subspace Estimation in a Distribution-Free Setting

Eliad Tsfadia
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Papers citing "On Differentially Private Subspace Estimation in a Distribution-Free Setting"

4 / 4 papers shown
Title
When Does Differentially Private Learning Not Suffer in High Dimensions?
When Does Differentially Private Learning Not Suffer in High Dimensions?
Xuechen Li
Daogao Liu
Tatsunori Hashimoto
Huseyin A. Inan
Janardhan Kulkarni
Y. Lee
Abhradeep Thakurta
52
58
0
01 Jul 2022
Private Robust Estimation by Stabilizing Convex Relaxations
Private Robust Estimation by Stabilizing Convex Relaxations
Pravesh Kothari
Pasin Manurangsi
A. Velingker
48
46
0
07 Dec 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
Thomas Steinke
Jonathan R. Ullman
67
40
0
08 Nov 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
101
113
0
25 Feb 2021

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