Attribute Privacy: Framework and Mechanisms

8 September 2020

Papers citing "Attribute Privacy: Framework and Mechanisms"

11 / 11 papers shown

Title
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency Ziv Goldfeld Kristjan Greenewald OT 47 41 0 24 Jan 2020
Local Distribution Obfuscation via Probability Coupling Yusuke Kawamoto Takao Murakami 50 7 0 13 Jul 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 37 151 0 28 May 2019
Local Obfuscation Mechanisms for Hiding Probability Distributions Yusuke Kawamoto Takao Murakami 68 26 0 03 Dec 2018
$On the rate of convergence of empirical measure in $\infty-$Wasserstein distance for unbounded density function$ On the rate of convergence of empirical measure in $\infty-$ Wasserstein distance for unbounded density function Anning Liu Jian‐Guo Liu Yulong Lu 20 14 0 22 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 138 1,472 0 10 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 233 4,120 0 18 Oct 2016
Pufferfish Privacy Mechanisms for Correlated Data Shuang Song Yizhen Wang Kamalika Chaudhuri 56 149 0 13 Mar 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 633 0 03 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 439 16,940 0 20 Dec 2013
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 72 460 0 19 Jun 2013