Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 524 papers shown

Title
Towards Independence Criterion in Machine Unlearning of Features and Labels Ling Han Nanqing Luo Hao Huang Jing Chen Mary-Anne Hartley MU 32 4 0 12 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 31 1 0 12 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 35 28 0 12 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 39 7 0 12 Mar 2024
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation Hangyu Wang Jianghao Lin Bo Chen Yang Yang Ruiming Tang Weinan Zhang Yong Yu MU 39 9 0 06 Mar 2024
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization Shitong Duan Xiaoyuan Yi Peng Zhang T. Lu Xing Xie Ning Gu 40 4 0 06 Mar 2024
Guardrail Baselines for Unlearning in LLMs Pratiksha Thaker Yash Maurya Shengyuan Hu Zhiwei Steven Wu Virginia Smith MU 51 40 0 05 Mar 2024
Dissecting Language Models: Machine Unlearning via Selective Pruning Nicholas Pochinkov Nandi Schoots MILM MU 26 15 0 02 Mar 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 46 27 0 02 Mar 2024
Eight Methods to Evaluate Robust Unlearning in LLMs Aengus Lynch Phillip Guo Aidan Ewart Stephen Casper Dylan Hadfield-Menell ELM MU 48 57 0 26 Feb 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 54 34 0 23 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 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
Visual In-Context Learning for Large Vision-Language Models Yucheng Zhou Xiang Li Qianning Wang Jianbing Shen MLLM 27 58 0 18 Feb 2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs Jiajun Tan Fei Sun Ruichen Qiu Du Su Huawei Shen MU 12 8 0 16 Feb 2024
Recovering the Pre-Fine-Tuning Weights of Generative Models Eliahu Horwitz Jonathan Kahana Yedid Hoshen 50 10 0 15 Feb 2024
Towards Safer Large Language Models through Machine Unlearning Zheyuan Liu Guangyao Dou Zhaoxuan Tan Yijun Tian Meng Jiang KELM MU 35 72 0 15 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 75 84 0 13 Feb 2024
Secret Collusion among Generative AI Agents: Multi-Agent Deception via Steganography S. Motwani Mikhail Baranchuk Martin Strohmeier Vijay Bolina Philip Torr Lewis Hammond Christian Schroeder de Witt 48 4 0 12 Feb 2024
Discriminative Adversarial Unlearning Rohan Sharma Shijie Zhou Kaiyi Ji Changyou Chen MU 30 1 0 10 Feb 2024
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models Lingzhi Wang Xingshan Zeng Jinsong Guo Kam-Fai Wong Georg Gottlob MU AAML KELM 19 13 0 08 Feb 2024
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers Ikhyun Cho Changyeon Park J. Hockenmaier 28 0 0 07 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 20 3 0 07 Feb 2024
Copyright Protection in Generative AI: A Technical Perspective Jie Ren Han Xu Pengfei He Yingqian Cui Shenglai Zeng ... Hongzhi Wen Jiayuan Ding Hui Liu Yi Chang Jiliang Tang DeLMO 31 32 0 04 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 56 12 0 02 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 49 4 0 02 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 30 7 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Unlearnable Algorithms for In-context Learning Andrei Muresanu Anvith Thudi Michael R. Zhang Nicolas Papernot MU 28 11 0 01 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 70 25 0 01 Feb 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 38 1 0 31 Jan 2024
CaMU: Disentangling Causal Effects in Deep Model Unlearning Shao Shen Chenhao Zhang Alina Bialkowski Weitong Chen Miao Xu CML MU 27 5 0 30 Jan 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 51 4 0 29 Jan 2024
Blockchain-enabled Trustworthy Federated Unlearning Yi-Lan Lin Zhipeng Gao Hongyang Du Jinke Ren Zhiqiang Xie Dusit Niyato MU 39 5 0 29 Jan 2024
How to Forget Clients in Federated Online Learning to Rank? Shuyi Wang Bing Liu Guido Zuccon 17 7 0 24 Jan 2024
Communication Efficient and Provable Federated Unlearning Youming Tao Cheng-Long Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang FedML MU 24 15 0 19 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 21 4 0 19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 37 8 0 18 Jan 2024
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native Yao Lu Song Bian Lequn Chen Yongjun He Yulong Hui ... Huanchen Zhang Minjia Zhang Qizhen Zhang Tianyi Zhou Danyang Zhuo 37 7 0 17 Jan 2024
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization Yoonhwa Jung Ikhyun Cho Shun-Hsiang Hsu J. Hockenmaier AAML MU 27 4 0 17 Jan 2024
Understanding User Experience in Large Language Model Interactions Jiayin Wang Weizhi Ma Peijie Sun Min Zhang Jian-yun Nie 27 32 0 16 Jan 2024
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 38 143 0 11 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 69 14 0 11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 31 14 0 11 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models Rui-ya Ma Qiang Zhou Yizhu Jin Daquan Zhou Bangjun Xiao ... Jingtong Hu Xiaodong Xie Zhen Dong Shanghang Zhang Shiji Zhou 14 2 0 04 Jan 2024
Reinforcement Unlearning Dayong Ye Tianqing Zhu Congcong Zhu Derui Wang Zewei Shi Sheng Shen Wanlei Zhou Jason Xue MU 28 7 0 26 Dec 2023
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models Alan Chan Ben Bucknall Herbie Bradley David M. Krueger 14 6 0 22 Dec 2023
On the Effectiveness of Unlearning in Session-Based Recommendation Xin Xin Liu Yang Ziqi Zhao Pengjie Ren Zhumin Chen Jun Ma Zhaochun Ren MU 32 3 0 22 Dec 2023
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 42 11 0 18 Dec 2023