Recommendation Unlearning

18 January 2022

Papers citing "Recommendation Unlearning"

50 / 51 papers shown

Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks X. Li Jingyi Wang Xiaohan Yuan Peixin Zhang Z. Qin Zhibo Wang Kui Ren AAML MU 42 0 0 10 May 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Chengkai Huang Hongtao Huang Tong Yu Kaige Xie Junda Wu Shuai Zhang Julian McAuley Dietmar Jannach Lina Yao LRM AI4CE 22 0 0 23 Apr 2025
Exact Unlearning of Finetuning Data via Model Merging at Scale Kevin Kuo Amrith Rajagopal Setlur Kartik Srinivas Aditi Raghunathan Virginia Smith MoMe CLL MU 45 0 0 06 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Weiqi Wang Zhiyi Tian An Liu Shui Yu 72 0 0 27 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 68 0 0 20 Feb 2025
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 100 6 0 30 Nov 2024
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge? Shang Wang Tianqing Zhu Dayong Ye Wanlei Zhou MU 38 2 0 20 Oct 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 27 3 0 26 Aug 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 18 0 0 01 Jul 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 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 30 5 0 18 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 42 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 31 4 0 16 Jun 2024
GENIU: A Restricted Data Access Unlearning for Imbalanced Data Chenhao Zhang Shaofei Shen Yawen Zhao Weitong Tony Chen Miao Xu MU 29 4 0 12 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 27 6 0 10 Jun 2024
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning Wenhan Chang Tianqing Zhu Heng Xu Wenjian Liu Wanlei Zhou MU 33 3 0 24 May 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Di Wang Hui Xiong Jingfeng Zhang Di Wang 27 3 0 24 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 30 13 0 13 May 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 30 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 31 9 0 06 Mar 2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs Jiajun Tan Fei Sun Ruichen Qiu Du Su Huawei Shen MU 8 7 0 16 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 65 81 0 13 Feb 2024
CaMU: Disentangling Causal Effects in Deep Model Unlearning Shao Shen Chenhao Zhang Alina Bialkowski Weitong Chen Miao Xu CML MU 19 5 0 30 Jan 2024
Machine Unlearning for Recommendation Systems: An Insight Bhavika Sachdeva Harshita Rathee Sristi Arun Sharma Witold Wydmañski MU 16 4 0 17 Jan 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 38 7 0 18 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 13 12 0 03 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 24 43 0 31 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 21 21 0 06 Oct 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 21 7 0 23 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 33 46 0 14 Aug 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 13 4 0 29 Jul 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 31 19 0 06 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 30 25 0 10 May 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 11 22 0 06 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 22 48 0 06 Apr 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 22 34 0 26 Feb 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 17 0 17 Feb 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations Mimee Xu Jiankai Sun Xin Yang K. Yao Chong-Jun Wang MU CML CLL 8 11 0 13 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 14 15 0 07 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 55 78 0 03 Jan 2023
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 31 7 0 28 Oct 2022
Recommendation with User Active Disclosing Willingness Lei Wang Xu Chen Quanyu Dai Zhenhua Dong 6 2 0 25 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 17 12 0 20 Oct 2022
Deep Regression Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 24 31 0 15 Oct 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 22 14 0 02 Sep 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 15 33 0 23 Aug 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 26 39 0 22 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 22 17 0 27 Feb 2022
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 31 168 0 17 Nov 2021