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Differentially Private Covariance Revisited

Differentially Private Covariance Revisited

28 May 2022
Wei Dong
Yuting Liang
K. Yi
    FedML
ArXivPDFHTML

Papers citing "Differentially Private Covariance Revisited"

5 / 5 papers shown
Title
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean
  Estimation
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation
Aleksandar Nikolov
Haohua Tang
41
4
0
31 Jan 2023
New Lower Bounds for Private Estimation and a Generalized Fingerprinting
  Lemma
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
FedML
34
26
0
17 May 2022
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
52
39
0
08 Nov 2021
On the Sample Complexity of Privately Learning Unbounded
  High-Dimensional Gaussians
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
Ishaq Aden-Ali
H. Ashtiani
Gautam Kamath
40
41
0
19 Oct 2020
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
69
148
0
01 May 2018
1