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Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in
  Differential Privacy with Optimal Gaussian Noise and Application to Deep
  Learning
v1v2 (latest)

Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning

6 September 2023
Hanshen Xiao
Jun Wan
Srini Devadas
ArXiv (abs)PDFHTML

Papers citing "Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning"

2 / 2 papers shown
Title
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy
Ye Zheng
Sumita Mishra
Yidan Hu
36
0
0
21 May 2025
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
169
1
0
28 Jan 2025
1