Threats, Attacks, and Defenses in Machine Unlearning: A Survey

Threats, Attacks, and Defenses in Machine Unlearning: A Survey

20 March 2024

Papers citing "Threats, Attacks, and Defenses in Machine Unlearning: A Survey"

14 / 14 papers shown

Title
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 45 0 0 02 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 65 1 0 01 May 2025
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Zora Che Stephen Casper Robert Kirk Anirudh Satheesh Stewart Slocum ... Zikui Cai Bilal Chughtai Y. Gal Furong Huang Dylan Hadfield-Menell MU AAML ELM 66 2 0 03 Feb 2025
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 42 6 0 03 Jun 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 22 1 0 13 May 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 19 5 0 15 Apr 2024
Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects Na Li Chunyi Zhou Yansong Gao Hui Chen Anmin Fu Zhi-Li Zhang Yu Shui MU 16 5 0 13 Mar 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 61 79 0 13 Feb 2024
Scalable Federated Unlearning via Isolated and Coded Sharding Yi-Lan Lin Zhipeng Gao Hongyang Du Dusit Niyato Gui Gui Shuguang Cui Jinke Ren FedML 43 4 0 29 Jan 2024
Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability Hao Wang Tao Xiang Shangwei Guo Jialing He Hangcheng Liu Tianwei Zhang SILM 25 2 0 29 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 54 8 0 10 Jan 2024
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges Nianwen Si Hao Zhang Heyu Chang Wenlin Zhang Dan Qu Weiqiang Zhang KELM MU 65 26 0 27 Nov 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 21 4 0 12 Sep 2023
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 216 0 06 Sep 2022