RelaxLoss: Defending Membership Inference Attacks without Losing Utility

12 July 2022

Mario Fritz

Papers citing "RelaxLoss: Defending Membership Inference Attacks without Losing Utility"

4 / 4 papers shown

Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 53 0 0 08 Mar 2025
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng Siva Rajesh Kasa Santhosh Kumar Kasa Hyokun Yun C. Teo S. Bodapati 89 6 0 08 Jul 2024
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020
Efficient Per-Example Gradient Computations Ian Goodfellow 186 74 0 07 Oct 2015