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Algorithmically Effective Differentially Private Synthetic Data

Algorithmically Effective Differentially Private Synthetic Data

11 February 2023
Yi He
Roman Vershynin
Yizhe Zhu
    SyDa
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Papers citing "Algorithmically Effective Differentially Private Synthetic Data"

4 / 4 papers shown
Title
Certified private data release for sparse Lipschitz functions
Certified private data release for sparse Lipschitz functions
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
46
3
0
19 Feb 2023
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
39
23
0
13 Jul 2021
Adaptive Metric Dimensionality Reduction
Adaptive Metric Dimensionality Reduction
Lee-Ad Gottlieb
A. Kontorovich
Robert Krauthgamer
56
38
0
12 Feb 2013
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