Effects of Differential Privacy and Data Skewness on Membership
Inference Vulnerability

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

21 November 2019

Mehmet Emre Gursoy

Papers citing "Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability"

8 / 8 papers shown

Title
Top Ten Challenges Towards Agentic Neural Graph Databases Jiaxin Bai Z. Wang Yukun Zhou Hang Yin WeiZhi Fei ... Binhang Yuan Wei Wang Lei Chen Xiaofang Zhou Y. Song 98 0 0 24 Jan 2025
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 23 16 0 02 Feb 2024
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu H. Asghar M. Kâafar Darren Webb Peter Dickinson 52 15 0 03 Apr 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 10 44 0 07 Feb 2022
Revisiting the Arguments for Edge Computing Research Blesson Varghese E. de Lara Aaron Yi Ding Cheol-Ho Hong F. Bonomi ... P. Harvey P. Hewkin Weisong Shi M. Thiele P. Willis 23 29 0 23 Jun 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 30 412 0 14 Mar 2021
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 11 11 0 21 Sep 2020
Differential Privacy: An Estimation Theory-Based Method for Choosing Epsilon M. Naldi G. DÁcquisto 38 40 0 04 Oct 2015