Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Authors: Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor Tsang, Guang Dai | Published: 2025-06-03
Privacy Analysis
Pr$εε$mpt: Sanitizing Sensitive Prompts for LLMs
Authors: Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan, Prasad Chalasani, Nicolas Papernot, Somesh Jha, Mihir Bellare | Published: 2025-04-07
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
Authors: Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho | Published: 2025-03-20
Unveiling Privacy Risks in LLM Agent Memory
Authors: Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He | Published: 2025-02-17 | Updated: 2025-06-03
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
Authors: Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann | Published: 2025-02-04 | Updated: 2025-05-29
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Authors: Sheng Liu, Zihan Wang, Yuxiao Chen, Qi Lei | Published: 2024-02-13 | Updated: 2025-03-22
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Authors: Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot | Published: 2023-07-01 | Updated: 2024-07-16
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting
Authors: Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople | Published: 2023-06-08 | Updated: 2024-03-12
Security and Privacy Problems in Voice Assistant Applications: A Survey
Authors: Jingjin Li, Chao chen, Lei Pan, Mostafa Rahimi Azghadi, Hossein Ghodosi, Jun Zhang | Published: 2023-04-19
A Randomized Approach for Tight Privacy Accounting
Authors: Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal | Published: 2023-04-17 | Updated: 2023-11-21