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Privately Estimating a Gaussian: Efficient, Robust and Optimal
v1v2 (latest)

Privately Estimating a Gaussian: Efficient, Robust and Optimal

15 December 2022
Daniel Alabi
Pravesh Kothari
Pranay Tankala
Prayaag Venkat
Fred Zhang
ArXiv (abs)PDFHTML

Papers citing "Privately Estimating a Gaussian: Efficient, Robust and Optimal"

15 / 15 papers shown
Title
Robustness Implies Privacy in Statistical Estimation
Robustness Implies Privacy in Statistical Estimation
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
Shyam Narayanan
70
52
0
09 Dec 2022
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
75
28
0
17 May 2022
Private Robust Estimation by Stabilizing Convex Relaxations
Private Robust Estimation by Stabilizing Convex Relaxations
Pravesh Kothari
Pasin Manurangsi
A. Velingker
57
47
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
81
40
0
08 Nov 2021
FriendlyCore: Practical Differentially Private Aggregation
FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia
E. Cohen
Haim Kaplan
Yishay Mansour
Uri Stemmer
61
36
0
19 Oct 2021
Covariance-Aware Private Mean Estimation Without Private Covariance
  Estimation
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
65
50
0
24 Jun 2021
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OODFedML
76
76
0
18 Feb 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
113
43
0
19 Oct 2020
CoinPress: Practical Private Mean and Covariance Estimation
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas
Yihe Dong
Gautam Kamath
Jonathan R. Ullman
63
116
0
11 Jun 2020
Private Mean Estimation of Heavy-Tailed Distributions
Private Mean Estimation of Heavy-Tailed Distributions
Gautam Kamath
Vikrant Singhal
Jonathan R. Ullman
78
100
0
21 Feb 2020
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
OOD
65
183
0
14 Nov 2019
Private Hypothesis Selection
Private Hypothesis Selection
Mark Bun
Gautam Kamath
Thomas Steinke
Zhiwei Steven Wu
62
91
0
30 May 2019
The total variation distance between high-dimensional Gaussians with the
  same mean
The total variation distance between high-dimensional Gaussians with the same mean
Luc Devroye
Abbas Mehrabian
Tommy Reddad
72
228
0
19 Oct 2018
Privately Learning High-Dimensional Distributions
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
Finite Sample Differentially Private Confidence Intervals
Vishesh Karwa
Salil P. Vadhan
60
194
0
10 Nov 2017
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