Backdoor Defense with Machine Unlearning

24 January 2022

Yang Liu

Papers citing "Backdoor Defense with Machine Unlearning"

48 / 48 papers shown

Title
$SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs$ SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs Aashiq Muhamed Jacopo Bonato Mona Diab Virginia Smith MU 66 2 0 11 Apr 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 70 1 0 31 Mar 2025
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 50 0 0 26 Mar 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 96 0 0 26 Mar 2025
Unified Prompt Attack Against Text-to-Image Generation Models Duo Peng Qiuhong Ke Mark He Huang Ping Hu Jing Liu 52 0 0 23 Feb 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Mingyuan Fan Zhanyi Hu Fuyi Wang Cen Chen SILM 55 0 0 22 Jan 2025
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment Alvi Md Ishmam Christopher Thomas AAML 124 3 0 23 Nov 2024
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 99 47 0 18 Nov 2024
Defending Deep Regression Models against Backdoor Attacks Lingyu Du Yupei Liu Jinyuan Jia Guohao Lan AAML 36 1 0 07 Nov 2024
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 52 20 0 09 Oct 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors Yichuan Mo Hui Huang Mingjie Li Ang Li Yisen Wang AAML DiffM 40 16 0 09 Sep 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen Jiaming Zhang Yizhao Zhang Li Zhang Lingjuan Lyu Yuyuan Li Biao Gong Chenggang Yan CML ELM MU 42 3 0 26 Aug 2024
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks Ji Guo Wenbo Jiang Rui Zhang Wenshu Fan Jiachen Li Guoming Lu AAML 43 1 0 23 Jul 2024
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI Ilia Shumailov Jamie Hayes Eleni Triantafillou Guillermo Ortiz-Jimenez Nicolas Papernot Matthew Jagielski Itay Yona Heidi Howard Eugene Bagdasaryan MU 34 21 0 27 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 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 47 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 49 6 0 28 May 2024
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers Duo Peng Qi Ke Jun Liu 30 4 0 18 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 39 14 0 13 May 2024
Unlearning Backdoor Attacks through Gradient-Based Model Pruning Kealan Dunnett Reza Arablouei Dimity Miller Volkan Dedeoglu Raja Jurdak AAML 40 1 0 07 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 40 28 0 20 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 40 29 0 12 Mar 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 46 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
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models Yihua Zhang Chongyu Fan Yimeng Zhang Yuguang Yao Jinghan Jia ... Gaoyuan Zhang Gaowen Liu Ramana Rao Kompella Xiaoming Liu Sijia Liu DiffM 60 5 0 19 Feb 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 82 86 0 13 Feb 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 40 1 0 31 Jan 2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Chongyu Fan Jiancheng Liu Yihua Zhang Eric Wong Dennis Wei Sijia Liu MU 32 128 0 19 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 39 83 0 18 Oct 2023
Large Language Model Unlearning Yuanshun Yao Xiaojun Xu Yang Liu MU 43 112 0 14 Oct 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 33 7 0 23 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 52 49 0 14 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 39 49 0 16 Jul 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 41 19 0 06 Jun 2023
Forgettable Federated Linear Learning with Certified Data Removal Rui Jin Minghui Chen Qiong Zhang Xiaoxiao Li MU 10 11 0 03 Jun 2023
Machine Unlearning: its nature, scope, and importance for a "delete culture" Luciano Floridi AILaw MU 40 6 0 24 May 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 30 14 0 20 Apr 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 36 109 0 11 Apr 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 50 37 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 47 53 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 29 7 0 07 Oct 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 30 34 0 23 Aug 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 25 122 0 12 Jul 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 182 289 0 02 Dec 2018