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On-Average KL-Privacy and its equivalence to Generalization for
  Max-Entropy Mechanisms

On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms

8 May 2016
Yu-Xiang Wang
Jing Lei
S. Fienberg
ArXivPDFHTML

Papers citing "On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms"

11 / 11 papers shown
Title
Active Privacy-Utility Trade-off Against Inference in Time-Series Data
  Sharing
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing
Ece Naz Erdemir
P. Dragotti
Deniz Gunduz
12
8
0
11 Feb 2022
Perturbed M-Estimation: A Further Investigation of Robust Statistics for
  Differential Privacy
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Aleksandra B. Slavkovic
Roberto Molinari
17
5
0
05 Aug 2021
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary
Ece Naz Erdemir
P. Dragotti
Deniz Gunduz
33
9
0
16 Feb 2021
Reasoning About Generalization via Conditional Mutual Information
Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke
Lydia Zakynthinou
23
159
0
24 Jan 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
113
147
0
06 Nov 2019
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
31
121
0
04 Jun 2019
Three Tools for Practical Differential Privacy
Three Tools for Practical Differential Privacy
K. V. D. Veen
Ruben Seggers
Peter Bloem
Giorgio Patrini
11
39
0
07 Dec 2018
Generating Artificial Data for Private Deep Learning
Generating Artificial Data for Private Deep Learning
Aleksei Triastcyn
Boi Faltings
13
48
0
08 Mar 2018
Calibrating Noise to Variance in Adaptive Data Analysis
Calibrating Noise to Variance in Adaptive Data Analysis
Vitaly Feldman
Thomas Steinke
35
47
0
19 Dec 2017
Privacy Risk in Machine Learning: Analyzing the Connection to
  Overfitting
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Samuel Yeom
Irene Giacomelli
Matt Fredrikson
S. Jha
MIACV
18
39
0
05 Sep 2017
Per-instance Differential Privacy
Per-instance Differential Privacy
Yu-Xiang Wang
31
5
0
24 Jul 2017
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