Machine Unlearning: Linear Filtration for Logit-based Classifiers

7 February 2020

Matthias Zeppelzauer

Papers citing "Machine Unlearning: Linear Filtration for Logit-based Classifiers"

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Title
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Xiang Li Bhavani Thuraisingham Wenqi Wei MU AILaw ELM 37 0 0 13 May 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 68 0 0 31 Mar 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong Weidong Bao Ji Wang Shuai Zhang Jingxuan Zhou Lingjuan Lyu Wei Yang Bryan Lim FedML MU 77 1 0 28 Feb 2025
Learning to Forget using Hypernetworks Jose Miguel Lara Rangel Stefan Schoepf Jack Foster David M. Krueger Usman Anwar MU 75 1 0 01 Dec 2024
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 88 47 0 18 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 39 0 0 06 Nov 2024
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Yingzi Ma Jiongxiao Wang Fei-Yue Wang Siyuan Ma Jiazhao Li ... B. Li Yejin Choi M. Chen Chaowei Xiao Chaowei Xiao MU 56 6 0 05 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Y. Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 23 1 0 04 Nov 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 27 2 0 12 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang M. He Zhengbao He Youmei Qiu X. Huang MU BDL 37 1 0 11 Oct 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 37 0 0 10 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
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 39 2 0 20 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
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 33 1 0 16 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 33 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 31 4 0 12 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 41 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 32 6 0 10 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach Xuhan Zuo Minghao Wang Tianqing Zhu Lefeng Zhang Shui Yu Wanlei Zhou MU 29 4 0 27 May 2024
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning Wenhan Chang Tianqing Zhu Heng Xu Wenjian Liu Wanlei Zhou MU 38 3 0 24 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 45 7 0 17 May 2024
Generative Unlearning for Any Identity Juwon Seo Sung-Hoon Lee Tae-Young Lee Seungjun Moon Gyeong-Moon Park 45 5 0 16 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 32 14 0 13 May 2024
Machine Unlearning for Document Classification Lei Kang Mohamed Ali Souibgui Fei Yang Lluís Gómez Ernest Valveny Dimosthenis Karatzas MU AILaw 31 4 0 29 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 28 3 0 04 Apr 2024
$$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning$ $\nabla τ$ : Gradient-based and Task-Agnostic machine Unlearning Daniel Trippa Cesare Campagnano Maria Sofia Bucarelli Gabriele Tolomei Fabrizio Silvestri MU BDL 25 3 0 21 Mar 2024
Continual Forgetting for Pre-trained Vision Models Hongbo Zhao Bolin Ni Haochen Wang Junsong Fan Fei Zhu Yuxi Wang Yuntao Chen Gaofeng Meng Zhaoxiang Zhang MU VLM 63 11 0 18 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 29 1 0 12 Mar 2024
Unlearnable Algorithms for In-context Learning Andrei Muresanu Anvith Thudi Michael R. Zhang Nicolas Papernot MU 26 10 0 01 Feb 2024
How to Forget Clients in Federated Online Learning to Rank? Shuyi Wang Bing Liu Guido Zuccon 17 6 0 24 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 25 13 0 11 Jan 2024
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 16 20 0 07 Dec 2023
Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting Sangamesh Kodge Gobinda Saha Kaushik Roy MU CLL 14 3 0 01 Dec 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Joey Tianyi Zhou Jian Wu Zuo-Qiang Liu MU 29 57 0 19 Oct 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
Machine Unlearning Methodology base on Stochastic Teacher Network Xulong Zhang Jianzong Wang Ning Cheng Yifu Sun Chuanyao Zhang Jing Xiao MU 21 4 0 28 Aug 2023
Disposable Transfer Learning for Selective Source Task Unlearning Seunghee Koh Hyounguk Shon Janghyeon Lee H. Hong Junmo Kim 25 2 0 19 Aug 2023
Generative Adversarial Networks Unlearning Hui Sun Tianqing Zhu Wenhan Chang Wanlei Zhou MU GAN 21 6 0 19 Aug 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 20 4 0 29 Jul 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 36 19 0 06 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie M. Zhang Jingren Zhou KELM 32 4 0 02 Jun 2023
Random Relabeling for Efficient Machine Unlearning Junde Li Swaroop Ghosh MU 32 3 0 21 May 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 36 25 0 10 May 2023
SAFE: Machine Unlearning With Shard Graphs Yonatan Dukler Benjamin Bowman Alessandro Achille Aditya Golatkar A. Swaminathan Stefano Soatto MU 22 21 0 25 Apr 2023
Multi-Class Unlearning for Image Classification via Weight Filtering Samuele Poppi Sara Sarto Marcella Cornia Lorenzo Baraldi Rita Cucchiara MU 22 5 0 04 Apr 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 26 13 0 10 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 29 35 0 26 Feb 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 23 20 0 24 Feb 2023