Machine Unlearning via Algorithmic Stability

25 February 2021

Ryan Rossi

Papers citing "Machine Unlearning via Algorithmic Stability"

50 / 77 papers shown

Title
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong Haochen Luo Chen Liu MU 32 0 0 22 Apr 2025
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty Xiaohua Feng Yuyuan Li C. Wang Junlin Liu L. Zhang Chaochao Chen MU 34 0 0 09 Apr 2025
Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng Hadi Amiri MU 161 0 0 08 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 47 0 0 01 Apr 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets Wenyu Wang Hao Fei Xiaotian Ye Z. Z. Ren Ziyang Chen Pengjie Ren MU KELM 192 0 0 06 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebeke Marco Lorenzi Giovanni Neglia Kevin Scaman MU 43 0 0 24 Feb 2025
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 93 47 0 18 Nov 2024
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP Tianyu Yang Lisen Dai Zheyuan Liu Xiangqi Wang Meng Jiang Yapeng Tian Xiangliang Zhang VLM MU 34 4 0 30 Oct 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate Zhiqi Bu Xiaomeng Jin Bhanukiran Vinzamuri Anil Ramakrishna Kai-Wei Chang V. Cevher Mingyi Hong MU 88 7 0 29 Oct 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 35 2 0 23 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 60 6 0 04 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 47 5 0 29 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 5 0 18 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Towards Aligned Data Removal via Twin Machine Unlearning Zheng Lin Zheng Lin Yuyao Sun Rong Jin Yuhang Wang Haichang Gao Zhenxing Niu MU 35 0 0 21 Aug 2024
Towards flexible perception with visual memory Robert Geirhos P. Jaini Austin Stone Sourabh Medapati Xi Yi G. Toderici Abhijit Ogale Jonathon Shlens 42 1 0 15 Aug 2024
Verification of Machine Unlearning is Fragile Binchi Zhang Zihan Chen Cong Shen Wenlin Yao AAML 79 5 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 64 7 0 01 Aug 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
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 43 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 41 2 0 20 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
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
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
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 38 1 0 31 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 31 3 0 24 May 2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases Ling Han Hao Huang Dustin Scheinost Mary-Anne Hartley María Rodríguez Martínez MU 42 0 0 22 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 43 35 0 28 Apr 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild Zhili Feng Pratyush Maini Zachary Chase Lipton J. Zico Kolter 47 40 0 23 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 39 3 0 04 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 40 3 0 01 Apr 2024
A Unified and General Framework for Continual Learning Zhenyi Wang Yan Li Li Shen Heng-Chiao Huang CLL 32 17 0 20 Mar 2024
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness Cheng-Long Wang Qi Li Zihang Xiang Yinzhi Cao Di Wang MU 29 1 0 19 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
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 45 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 75 84 0 13 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 20 3 0 07 Feb 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
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
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 2 0 22 Dec 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
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 42 7 0 18 Nov 2023
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems Dasol Choi Dongbin Na CVBM MU 21 15 0 03 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
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 27 125 0 19 Oct 2023
Tight Bounds for Machine Unlearning via Differential Privacy Yiyang Huang C. Canonne MU 25 10 0 02 Sep 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 32 11 0 02 Aug 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023