Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 524 papers shown

Title
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 61 6 0 13 Dec 2023
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs S. Kadhe Anisa Halimi Ambrish Rawat Nathalie Baracaldo MU 22 7 0 12 Dec 2023
Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs Zhuo Zhang Guangyu Shen Guanhong Tao Shuyang Cheng Xiangyu Zhang 41 13 0 08 Dec 2023
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 24 20 0 07 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 50 7 0 04 Dec 2023
Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting Sangamesh Kodge Gobinda Saha Kaushik Roy MU CLL 19 0 0 01 Dec 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 68 19 0 29 Nov 2023
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges Nianwen Si Hao Zhang Heyu Chang Wenlin Zhang Dan Qu Weiqiang Zhang KELM MU 80 26 0 27 Nov 2023
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation Akash Dhasade Yaohong Ding Song Guo Anne-Marie Kermarrec M. Vos Leijie Wu MU DD 24 6 0 27 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 32 3 0 21 Nov 2023
Attacks of fairness in Federated Learning Joseph Rance Filip Svoboda FedML 39 1 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 34 5 0 20 Nov 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 44 7 0 18 Nov 2023
Delete My Account: Impact of Data Deletion on Machine Learning Classifiers Tobias Dam Maximilian Henzl Lukas Daniel Klausner 9 0 0 17 Nov 2023
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks Ting-Yun Chang Jesse Thomason Robin Jia 23 14 0 15 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 25 1 0 06 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 40 12 0 03 Nov 2023
Advancing the Search Frontier with AI Agents Ryen W. White 24 17 0 02 Nov 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min Lin TDI 34 20 1 01 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 34 44 0 31 Oct 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs Jiaao Chen Diyi Yang MU 30 137 0 31 Oct 2023
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 32 46 0 31 Oct 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 32 192 0 30 Oct 2023
A Survey on Knowledge Editing of Neural Networks Vittorio Mazzia Alessandro Pedrani Andrea Caciolai Kay Rottmann Davide Bernardi KELM 20 24 0 30 Oct 2023
On consequences of finetuning on data with highly discriminative features Wojciech Masarczyk Tomasz Trzciñski M. Ostaszewski 30 0 0 30 Oct 2023
Exploring Federated Unlearning: Review, Comparison, and Insights Yang Zhao Jiaxi Yang Yiling Tao Lixu Wang Xiaoxiao Li Dusit Niyato H. Vincent Poor FedML MU 56 13 0 30 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 26 1 0 28 Oct 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Zheyuan Liu Guangyao Dou Yijun Tian Chunhui Zhang Eli Chien Ziwei Zhu MU 26 16 0 28 Oct 2023
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition Shuoyuan Wang Jindong Wang Huajun Xi Bob Zhang Lei Zhang Hongxin Wei TTA 29 12 0 28 Oct 2023
Detecting Pretraining Data from Large Language Models Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 33 164 0 25 Oct 2023
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models Shawn Shan Wenxin Ding Josephine Passananti Stanley Wu Haitao Zheng Ben Y. Zhao SILM DiffM 31 44 0 20 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 35 57 0 19 Oct 2023
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models Wenqi Jiang Marco Zeller R. Waleffe Torsten Hoefler Gustavo Alonso 54 16 0 15 Oct 2023
Large Language Model Unlearning Yuanshun Yao Xiaojun Xu Yang Liu MU 41 111 0 14 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 26 2 0 12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 26 2 0 12 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 28 101 0 11 Oct 2023
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems Yuyuan Li Chaochao Chen Xiaolin Zheng Yizhao Zhang Zhongxuan Han Dan Meng Jun Wang MU 34 21 0 06 Oct 2023
Can Language Models be Instructed to Protect Personal Information? Yang Chen Ethan Mendes Sauvik Das Wei-ping Xu Alan Ritter PILM 27 35 0 03 Oct 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 36 6 0 28 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation Yash Sinha Murari Mandal Mohan S. Kankanhalli MU 34 10 0 28 Sep 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 28 2 0 28 Sep 2023
ModelGiF: Gradient Fields for Model Functional Distance Mingli Song Zhenxing Xu Sai Wu Gang Chen Mingli Song DiffM 30 5 0 20 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 28 13 0 19 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey Tao Wang Yushu Zhang Shuren Qi Ruoyu Zhao Zhihua Xia Jian Weng 59 44 0 18 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials Yizhan Huang Yichen Li Weibin Wu Jianping Zhang Michael R. Lyu 31 14 0 14 Sep 2023
Circuit Breaking: Removing Model Behaviors with Targeted Ablation Maximilian Li Xander Davies Max Nadeau KELM MU 29 27 0 12 Sep 2023
Tight Bounds for Machine Unlearning via Differential Privacy Yiyang Huang C. Canonne MU 25 10 0 02 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 40 3 0 28 Aug 2023