On the Effectiveness of Regularization Against Membership Inference
Attacks

On the Effectiveness of Regularization Against Membership Inference Attacks

9 June 2020

Sanghyun Hong

Papers citing "On the Effectiveness of Regularization Against Membership Inference Attacks"

5 / 5 papers shown

Title
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 47 0 0 12 Jan 2025
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 46 1 0 19 Apr 2024
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 32 18 0 27 May 2022
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,892 0 15 Sep 2016