Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs
Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou | Published: 2024-06-16
メンバーシップ推論
Adversarial Machine Unlearning
Authors: Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu | Published: 2024-06-11
LLM Dataset Inference: Did you train on my dataset?
Authors: Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic | Published: 2024-06-10
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Authors: Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu | Published: 2024-06-10
Model for Peanuts: Hijacking ML Models without Training Access is Possible
Authors: Mahmoud Ghorbel, Halima Bouzidi, Ioan Marius Bilasco, Ihsen Alouani | Published: 2024-06-03
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models
Authors: Florent Guépin, Nataša Krčo, Matthieu Meeus, Yves-Alexandre de Montjoye | Published: 2024-05-24
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Authors: Tudor Cebere, Aurélien Bellet, Nicolas Papernot | Published: 2024-05-23 | Updated: 2024-10-14
Information Leakage from Embedding in Large Language Models
Authors: Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang | Published: 2024-05-20 | Updated: 2024-05-22
Learnable Privacy Neurons Localization in Language Models
Authors: Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu | Published: 2024-05-16
PLeak: Prompt Leaking Attacks against Large Language Model Applications
Authors: Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao | Published: 2024-05-10 | Updated: 2024-05-14