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Certified private data release for sparse Lipschitz functions

Certified private data release for sparse Lipschitz functions

19 February 2023
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
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Papers citing "Certified private data release for sparse Lipschitz functions"

6 / 6 papers shown
Title
Online Differentially Private Synthetic Data Generation
Online Differentially Private Synthetic Data Generation
Yiyun He
Roman Vershynin
Yizhe Zhu
SyDa
13
2
0
12 Feb 2024
Privacy-preserving data release leveraging optimal transport and
  particle gradient descent
Privacy-preserving data release leveraging optimal transport and particle gradient descent
Konstantin Donhauser
Javier Abad
Neha Hulkund
Fanny Yang
33
4
0
31 Jan 2024
Differentially Private Low-dimensional Synthetic Data from
  High-dimensional Datasets
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets
Yiyun He
Thomas Strohmer
Roman Vershynin
Yizhe Zhu
SyDa
18
1
0
26 May 2023
Hyperparameter Tuning with Renyi Differential Privacy
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot
Thomas Steinke
123
119
0
07 Oct 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
148
58
0
17 Feb 2021
Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
Vitaly Feldman
David Xiao
167
71
0
25 Feb 2014
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