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Gaussian Differential Privacy on Riemannian Manifolds

Gaussian Differential Privacy on Riemannian Manifolds

9 November 2023
Yangdi Jiang
Xiaotian Chang
Yi Liu
Lei Ding
Linglong Kong
Bei Jiang
ArXivPDFHTML

Papers citing "Gaussian Differential Privacy on Riemannian Manifolds"

8 / 8 papers shown
Title
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos Soto
M. Reimherr
Aleksandra B. Slavkovic
Mark Shriver
CVBM
44
1
0
10 Sep 2024
Identification, Amplification and Measurement: A bridge to Gaussian
  Differential Privacy
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Yi Liu
Ke Sun
Linglong Kong
Bei Jiang
46
6
0
17 Oct 2022
Differentially Private Fréchet Mean on the Manifold of Symmetric
  Positive Definite (SPD) Matrices with log-Euclidean Metric
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric
Saiteja Utpala
Praneeth Vepakomma
Nina Miolane
40
8
0
08 Aug 2022
Statistical models and probabilistic methods on Riemannian manifolds
Statistical models and probabilistic methods on Riemannian manifolds
Salem Said
17
3
0
26 Jan 2021
Privacy Amplification by Subsampling: Tight Analyses via Couplings and
  Divergences
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle
Gilles Barthe
Marco Gaboardi
79
387
0
04 Jul 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
66
403
0
16 May 2018
Riemannian Gaussian Distributions on the Space of Symmetric Positive
  Definite Matrices
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices
Salem Said
Lionel Bombrun
Y. Berthoumieu
J. Manton
40
141
0
07 Jul 2015
The Composition Theorem for Differential Privacy
The Composition Theorem for Differential Privacy
Peter Kairouz
Sewoong Oh
Pramod Viswanath
104
679
0
04 Nov 2013
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