Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 524 papers shown

Title
Machine Unlearning in Generative AI: A Survey Zheyuan Liu Guangyao Dou Zhaoxuan Tan Yijun Tian Meng Jiang MU 35 14 0 30 Jul 2024
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 45 4 0 29 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 80 6 0 28 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks Jiaxing Miao Liang Hu Qi Zhang LongBing Cao CLL 51 0 0 27 Jul 2024
Revisiting Machine Unlearning with Dimensional Alignment Seonguk Seo Dongwan Kim Bohyung Han MU 37 0 0 25 Jul 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models Haoyu Tang Ye Liu Xukai Liu Xukai Liu Yanghai Zhang Kai Zhang Xiaofang Zhou Enhong Chen MU 75 3 0 25 Jul 2024
Unlearning Concepts from Text-to-Video Diffusion Models Shiqi Liu Yihua Tan DiffM 44 0 0 19 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 41 8 0 15 Jul 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs Zhenhua Liu Tong Zhu Chuanyuan Tan Wenliang Chen PILM MU 56 8 0 14 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 46 1 0 11 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 54 8 0 11 Jul 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey Chenyu Zhang Mingwang Hu Wenhui Li Lanjun Wang 41 15 0 10 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 42 0 0 10 Jul 2024
Machine Unlearning for Medical Imaging Reza Nasirigerdeh Nader Razmi Julia A. Schnabel Daniel Rueckert Georgios Kaissis OOD MU 25 1 0 10 Jul 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi Jaechan Lee Yangsibo Huang Sadhika Malladi Jieyu Zhao Ari Holtzman Daogao Liu Luke Zettlemoyer Noah A. Smith Chiyuan Zhang MU ELM 45 46 0 08 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 86 7 0 07 Jul 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren AAML 33 3 0 06 Jul 2024
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector Ahan Chatterjee Sai Anirudh Aryasomayajula Rajat Chaudhari Subhajit Paul Vishwa Mohan Singh AAML 30 0 0 05 Jul 2024
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging Zhipeng Deng Luyang Luo Hao Chen MU 37 2 0 02 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 25 0 0 01 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 20 0 27 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 62 8 0 25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 61 7 0 24 Jun 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 85 28 1 23 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 45 3 0 21 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 43 2 0 20 Jun 2024
Mitigating Social Biases in Language Models through Unlearning O. Dige Diljot Singh Tsz Fung Yau Qixuan Zhang Borna Bolandraftar Xiaodan Zhu Faiza Khan Khattak MoMe MU 32 2 0 19 Jun 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning Tao Wu Xinwen Cao Chao Wang Shaojie Qiao Xingping Xian Lin Yuan Canyixing Cui Yanbing Liu AAML 50 1 0 19 Jun 2024
Low-Redundant Optimization for Large Language Model Alignment Zhipeng Chen Kun Zhou Wayne Xin Zhao Jingyuan Wang Ji-Rong Wen 39 2 0 18 Jun 2024
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu FedML MU 35 5 0 18 Jun 2024
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models Minseok Choi Kyunghyun Min Jaegul Choo MU AAML 38 1 0 18 Jun 2024
Soft Prompting for Unlearning in Large Language Models Karuna Bhaila Minh-Hao Van Xintao Wu MU KELM 35 4 0 17 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 28 7 0 17 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 35 1 0 16 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 50 2 0 16 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 39 4 0 16 Jun 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran Jin Pengfei Cao Chenhao Wang Zhitao He Hongbang Yuan Jiachun Li Yubo Chen Kang Liu Jun Zhao KELM MU 42 12 0 16 Jun 2024
A More Practical Approach to Machine Unlearning David Zagardo MU 40 0 0 13 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition Eleni Triantafillou Peter Kairouz Fabian Pedregosa Jamie Hayes M. Kurmanji ... Lisheng Sun-Hosoya Sergio Escalera Gintare Karolina Dziugaite Peter Triantafillou Isabelle M Guyon MU 54 14 0 13 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov KELM MU 71 4 0 13 Jun 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference Jiabao Ji Yujian Liu Yang Zhang Gaowen Liu Ramana Rao Kompella Sijia Liu Shiyu Chang KELM MU 37 23 0 12 Jun 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning Jianing Zhu Bo Han Jiangchao Yao Jianliang Xu Gang Niu Masashi Sugiyama CLL MU 29 4 0 12 Jun 2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content Guangjing Huang Qiong Wu Jingyi Li Xu Chen FedML 24 4 0 12 Jun 2024
GENIU: A Restricted Data Access Unlearning for Imbalanced Data Chenhao Zhang Shaofei Shen Yawen Zhao Weitong Tony Chen Miao Xu MU 34 4 0 12 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 40 2 0 11 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 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 37 6 0 10 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 29 1 0 05 Jun 2024
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models Bichen Wang Yuzhe Zi Yixin Sun Yanyan Zhao Bing Qin MU 75 8 0 04 Jun 2024
Privacy in LLM-based Recommendation: Recent Advances and Future Directions Sichun Luo Wei Shao Yuxuan Yao Jian Xu Mingyang Liu ... Maolin Wang Guanzhi Deng Hanxu Hou Xinyi Zhang Linqi Song 36 1 0 03 Jun 2024