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Noise Variance Optimization in Differential Privacy: A Game-Theoretic
  Approach Through Per-Instance Differential Privacy

Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

24 April 2024
Sehyun Ryu
Jonggyu Jang
H. Yang
ArXivPDFHTML

Papers citing "Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy"

3 / 3 papers shown
Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Gokularam Muthukrishnan
Sheetal Kalyani
87
0
0
28 Jan 2025
Renyi Differential Privacy of Propose-Test-Release and Applications to
  Private and Robust Machine Learning
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Jiachen T. Wang
Saeed Mahloujifar
Shouda Wang
R. Jia
Prateek Mittal
AAML
32
5
0
16 Sep 2022
The Optimal Mechanism in Differential Privacy: Multidimensional Setting
The Optimal Mechanism in Differential Privacy: Multidimensional Setting
Quan Geng
Pramod Viswanath
92
123
0
02 Dec 2013
1