Backdoor Defense with Machine Unlearning

Backdoor Defense with Machine Unlearning

24 January 2022

Yang Liu

Papers citing "Backdoor Defense with Machine Unlearning"

17 / 17 papers shown

Title
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Mingyuan Fan Zhanyi Hu Fuyi Wang Cen Chen SILM 45 0 0 22 Jan 2025
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 40 2 0 23 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan Jiancheng Liu Licong Lin Jinghan Jia Ruiqi Zhang Song Mei Sijia Liu MU 43 17 0 09 Oct 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 40 2 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 42 6 0 10 Jun 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 44 6 0 28 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 44 2 0 22 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 42 14 0 21 Feb 2024
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 42 36 0 26 Feb 2023
Provable Defense against Backdoor Policies in Reinforcement Learning S. Bharti Xuezhou Zhang Adish Singla Xiaojin Zhu AAML 12 19 0 18 Nov 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 52 0 23 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 24 7 0 07 Oct 2022
Challenges and Pitfalls of Bayesian Unlearning Ambrish Rawat James Requeima W. Bruinsma Richard Turner BDL MU 49 5 0 07 Jul 2022
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian-wei Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 22 61 0 24 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 173 287 0 02 Dec 2018