Membership Inference Attacks and Generalization: A Causal Perspective

Membership Inference Attacks and Generalization: A Causal Perspective

18 September 2022

Papers citing "Membership Inference Attacks and Generalization: A Causal Perspective"

13 / 13 papers shown

Title
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 67 0 0 16 Dec 2024
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy Jiating Ma Yipeng Zhou Qi Li Quan Z. Sheng Laizhong Cui Jiangchuan Liu FedML 23 0 0 16 Aug 2024
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability Chenxi Li Abhinav Kumar Zhen Guo Jie Hou R. Tourani AAML MIACV 24 2 0 01 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 18 0 0 01 Jul 2024
Inference Attacks Against Face Recognition Model without Classification Layers Yuanqing Huang Huilong Chen Yinggui Wang Lei Wang 21 1 0 24 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 39 2 0 07 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 10 3 0 28 Nov 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 40 2 0 20 Oct 2023
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang 19 18 0 10 Oct 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 19 7 0 22 May 2023
Provable Membership Inference Privacy Zachary Izzo Jinsung Yoon Sercan Ö. Arik James Y. Zou 15 5 0 12 Nov 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 185 357 0 24 Mar 2020