Purifier: Defending Data Inference Attacks via Transforming Confidence
Scores

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores

1 December 2022

Fan Zhang

Papers citing "Purifier: Defending Data Inference Attacks via Transforming Confidence Scores"

9 / 9 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 43 0 0 08 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 51 2 0 01 Mar 2025
Trustworthy AI on Safety, Bias, and Privacy: A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 40 0 0 11 Feb 2025
Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang Jung-Eun Kim 16 1 0 23 Jul 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 24 2 0 26 Apr 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 17 5 0 02 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 34 2 0 07 Dec 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model Rongke Liu Dong Wang Yizhi Ren Zhen Wang Kaitian Guo Qianqian Qin Xiaolei Liu DiffM 17 12 0 17 Jul 2023
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models Shagufta Mehnaz S. V. Dibbo Ehsanul Kabir Ninghui Li E. Bertino MIACV 27 60 0 23 Jan 2022