Fast Yet Effective Machine Unlearning

17 November 2021

Papers citing "Fast Yet Effective Machine Unlearning"

50 / 113 papers shown

Title
Certified Data Removal Under High-dimensional Settings Haolin Zou Arnab Auddy Yongchan Kwon Kamiar Rahnama Rad A. Maleki MU 24 0 0 12 May 2025
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 37 0 0 10 May 2025
WaterDrum: Watermarking for Data-centric Unlearning Metric Xinyang Lu Xinyuan Niu Gregory Kang Ruey Lau Bui Thi Cam Nhung Rachael Hwee Ling Sim Fanyu Wen Chuan-Sheng Foo S. Ng Bryan Kian Hsiang Low MU 51 0 0 08 May 2025
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong Haochen Luo Chen Liu MU 25 0 0 22 Apr 2025
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models Hao Xuan Xingyu Li AAML MU 43 0 0 21 Apr 2025
Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs Dongyang Fan Vinko Sabolčec Matin Ansaripour Ayush Kumar Tarun Martin Jaggi Antoine Bosselut Imanol Schlag 23 0 0 08 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
ESC: Erasing Space Concept for Knowledge Deletion Tae-Young Lee Sundong Park M. Jeon Hyoseok Hwang Gyeong-Moon Park KELM MU 37 0 0 03 Apr 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
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning Tianyang Xu Xiaoze Liu Feijie Wu Xiaoqian Wang Jing Gao MU 54 0 0 29 Mar 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 71 0 0 24 Mar 2025
NoT: Federated Unlearning via Weight Negation Yasser H. Khalil Leo Maxime Brunswic Soufiane Lamghari Xu Li Mahdi Beitollahi Xi Chen MU 37 2 0 07 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 50 0 0 05 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 67 1 0 28 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 114 2 0 21 Feb 2025
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 44 0 0 03 Feb 2025
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 69 2 0 16 Dec 2024
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
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
Neural Corrective Machine Unranking Jingrui Hou Axel Finke Georgina Cosma MU 35 1 0 13 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 29 0 0 06 Nov 2024
Black-Box Forgetting Yusuke Kuwana Yuta Goto Takashi Shibata Go Irie CLL MU VLM 26 0 0 01 Nov 2024
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation Wenhan Chang Tianqing Zhu Yufeng Wu Wanlei Zhou MU 19 0 0 31 Oct 2024
A few-shot Label Unlearning in Vertical Federated Learning Hanlin Gu Hong Xi Tae Chee Seng Chan Lixin Fan MU FedML 22 1 0 14 Oct 2024
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications Heng Xu Tianqing Zhu Wanlei Zhou MU AAML 13 1 0 14 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 26 4 0 13 Oct 2024
Do Unlearning Methods Remove Information from Language Model Weights? Aghyad Deeb Fabien Roger AAML MU 40 11 0 11 Oct 2024
ConDa: Fast Federated Unlearning with Contribution Dampening Vikram S Chundawat Pushkar Niroula Prasanna Dhungana Stefan Schoepf Murari Mandal Alexandra Brintrup FedML 13 3 0 05 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 40 4 0 29 Sep 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats Kuanrong Liu Siyuan Liang Jiawei Liang Pengwen Dai Xiaochun Cao MU AAML 24 1 0 29 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 19 1 0 28 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model Xin Su Zhuoran Zheng CLL 24 1 0 01 Sep 2024
Neural Machine Unranking Jingrui Hou Axel Finke Georgina Cosma MU 16 0 0 09 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI Shiji Zhou Lianzhe Wang Jiangnan Ye Yongliang Wu Heng Chang MU 41 5 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Jundong Li MU 57 6 0 01 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 42 36 0 01 Aug 2024
Machine Unlearning using a Multi-GAN based Model Amartya Hatua Trung T. Nguyen Andrew H. Sung GAN SyDa MU 23 0 0 26 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 32 7 0 15 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 24 0 0 10 Jul 2024
Zero-Shot Class Unlearning in CLIP with Synthetic Samples A. Kravets V. Namboodiri VLM MU 16 5 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 16 0 0 01 Jul 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 48 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 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 29 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 22 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 25 1 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 21 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 24 6 0 10 Jun 2024
Pruning for Robust Concept Erasing in Diffusion Models Tianyun Yang Juan Cao Chang Xu 21 13 0 26 May 2024
HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System Zhisheng Zhang Pengyang Huang AAML 16 0 0 24 May 2024