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Private measures, random walks, and synthetic data

Private measures, random walks, and synthetic data

20 April 2022
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
ArXivPDFHTML

Papers citing "Private measures, random walks, and synthetic data"

5 / 5 papers shown
Title
Private sampling: a noiseless approach for generating differentially
  private synthetic data
Private sampling: a noiseless approach for generating differentially private synthetic data
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
SyDa
29
14
0
30 Sep 2021
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private
  and Accurate Synthetic Data
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
42
23
0
13 Jul 2021
Leveraging Public Data for Practical Private Query Release
Leveraging Public Data for Practical Private Query Release
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
161
58
0
17 Feb 2021
Fidelity and Privacy of Synthetic Medical Data
Fidelity and Privacy of Synthetic Medical Data
O. Mendelevitch
M. Lesh
40
29
0
18 Jan 2021
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
72
148
0
01 May 2018
1