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A unified interpretation of the Gaussian mechanism for differential
  privacy through the sensitivity index

A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index

22 September 2021
Georgios Kaissis
Moritz Knolle
F. Jungmann
Alexander Ziller
Dmitrii Usynin
Daniel Rueckert
ArXiv (abs)PDFHTML

Papers citing "A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index"

14 / 14 papers shown
Title
Optimal Accounting of Differential Privacy via Characteristic Function
Optimal Accounting of Differential Privacy via Characteristic Function
Yuqing Zhu
Jinshuo Dong
Yu Wang
55
104
0
16 Jun 2021
Numerical Composition of Differential Privacy
Numerical Composition of Differential Privacy
Sivakanth Gopi
Y. Lee
Lukas Wutschitz
82
183
0
05 Jun 2021
Three Variants of Differential Privacy: Lossless Conversion and
  Applications
Three Variants of Differential Privacy: Lossless Conversion and Applications
S. Asoodeh
Jiachun Liao
Flavio du Pin Calmon
O. Kosut
Lalitha Sankar
59
39
0
14 Aug 2020
Deep Learning with Gaussian Differential Privacy
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu
Jinshuo Dong
Qi Long
Weijie J. Su
FedML
71
209
0
26 Nov 2019
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov
Kunal Talwar
Li Zhang
103
287
0
28 Aug 2019
Hypothesis Testing Interpretations and Renyi Differential Privacy
Hypothesis Testing Interpretations and Renyi Differential Privacy
Borja Balle
Gilles Barthe
Marco Gaboardi
Justin Hsu
Tetsuya Sato
61
117
0
24 May 2019
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
87
393
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
101
413
0
16 May 2018
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
220
6,172
0
01 Jul 2016
Concentrated Differential Privacy
Concentrated Differential Privacy
Cynthia Dwork
G. Rothblum
82
453
0
06 Mar 2016
Understanding the Sparse Vector Technique for Differential Privacy
Understanding the Sparse Vector Technique for Differential Privacy
Min Lyu
D. Su
Ninghui Li
69
167
0
05 Mar 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
109
2,001
0
25 Jul 2014
The Composition Theorem for Differential Privacy
The Composition Theorem for Differential Privacy
Peter Kairouz
Sewoong Oh
Pramod Viswanath
170
685
0
04 Nov 2013
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler Divergence
T. Erven
P. Harremoes
102
1,345
0
12 Jun 2012
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