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Universal Private Estimators

Universal Private Estimators

4 November 2021
Wei Dong
K. Yi
ArXivPDFHTML

Papers citing "Universal Private Estimators"

7 / 7 papers shown
Title
Smooth Sensitivity for Geo-Privacy
Smooth Sensitivity for Geo-Privacy
Yuting Liang
Ke Yi
30
0
0
10 May 2024
Differential Privacy on Dynamic Data
Differential Privacy on Dynamic Data
Yuan Qiu
K. Yi
24
0
0
03 Sep 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
55
39
0
08 Nov 2021
A Nearly Instance-optimal Differentially Private Mechanism for
  Conjunctive Queries
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries
Wei Dong
K. Yi
8
23
0
12 May 2021
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
53
75
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
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
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