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Locally Private Gaussian Estimation

Locally Private Gaussian Estimation

20 November 2018
Matthew Joseph
Janardhan Kulkarni
Jieming Mao
Zhiwei Steven Wu
    FedML
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Papers citing "Locally Private Gaussian Estimation"

9 / 9 papers shown
Title
Sample-Optimal Locally Private Hypothesis Selection and the Provable
  Benefits of Interactivity
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
A. F. Pour
Hassan Ashtiani
S. Asoodeh
38
0
0
09 Dec 2023
Privacy Aware Experimentation over Sensitive Groups: A General Chi
  Square Approach
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
R. Friedberg
Ryan M. Rogers
21
3
0
17 Aug 2022
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
25
48
0
24 Jun 2021
Average-Case Averages: Private Algorithms for Smooth Sensitivity and
  Mean Estimation
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun
Thomas Steinke
39
74
0
06 Jun 2019
Locally Differentially Private Data Collection and Analysis
Locally Differentially Private Data Collection and Analysis
Teng Wang
Jun Zhao
Xinyu Yang
Xuebin Ren
25
13
0
05 Jun 2019
Private Identity Testing for High-Dimensional Distributions
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
30
36
0
28 May 2019
The Role of Interactivity in Local Differential Privacy
The Role of Interactivity in Local Differential Privacy
Matthew Joseph
Jieming Mao
Seth Neel
Aaron Roth
28
64
0
07 Apr 2019
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
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
85
278
0
02 Oct 2017
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