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Instance-Specific Asymmetric Sensitivity in Differential Privacy

Instance-Specific Asymmetric Sensitivity in Differential Privacy

2 November 2023
David Durfee
ArXivPDFHTML

Papers citing "Instance-Specific Asymmetric Sensitivity in Differential Privacy"

5 / 5 papers shown
Title
Unbounded Differentially Private Quantile and Maximum Estimation
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
36
6
0
02 May 2023
Instance-Optimal Differentially Private Estimation
Instance-Optimal Differentially Private Estimation
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
32
5
0
28 Oct 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
50
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
32
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
62
148
0
01 May 2018
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