Adaptive Machine Unlearning

8 June 2021

Saeed Sharifi-Malvajerdi

Chris Waites

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Papers citing "Adaptive Machine Unlearning"

50 / 115 papers shown

Title
Privacy-Aware Lifelong Learning Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 21 0 0 16 May 2025
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Xiang Li Bhavani Thuraisingham Wenqi Wei MU AILaw ELM 37 0 0 13 May 2025
Certified Data Removal Under High-dimensional Settings Haolin Zou Arnab Auddy Yongchan Kwon Kamiar Rahnama Rad A. Maleki MU 39 0 0 12 May 2025
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zhanyue Qin Zhibo Wang Kui Ren AAML MU 52 0 0 10 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Xiaoyu Xu Minxin Du Qingqing Ye Haibo Hu MU 57 0 0 07 May 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 96 0 0 26 Mar 2025
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning Matthew Khoriaty Andrii Shportko Gustavo Mercier Zach Wood-Doughty MU 53 0 0 14 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
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning Manaar Alam Hithem Lamri Michail Maniatakos AAML 57 1 0 17 Feb 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs Chenhan Zhang B. Zhao Hassan Jameel Asghar Dali Kaafar MU 83 0 0 25 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions Wenjie Li Jiawei Li Christian Schroeder de Witt Ameya Prabhu Amartya Sanyal TDI MU 97 0 0 20 Nov 2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method Teodora Baluta Pascal Lamblin Daniel Tarlow Fabian Pedregosa Gintare Karolina Dziugaite MU 32 1 0 07 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 29 4 0 30 Oct 2024
Attribute-to-Delete: Machine Unlearning via Datamodel Matching Kristian Georgiev Roy Rinberg Sung Min Park Shivam Garg Andrew Ilyas Aleksander Madry Seth Neel MU 49 3 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 85 6 0 29 Oct 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices Xiaoyu Xia Ziqi Wang Ruoxi Sun B. Liu Ibrahim Khalil Minhui Xue MU 35 2 0 14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 30 2 0 12 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 55 2 0 10 Oct 2024
Machine Unlearning in Forgettability Sequence Junjie Chen Qian Chen Jian Lou Xiaoyu Zhang Kai Wu Zilong Wang MU 18 0 0 09 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 10 0 03 Oct 2024
Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce Carl E. J. Brodzinski AAML 16 1 0 29 Sep 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 39 3 0 26 Aug 2024
Towards Aligned Data Removal via Twin Machine Unlearning Haoxuan Ji Zheng Lin Yuyao Sun Rong Jin Yuhang Wang Haichang Gao Zhenxing Niu MU 30 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
UNLEARN Efficient Removal of Knowledge in Large Language Models Tyler Lizzo Larry Heck KELM MoMe MU 40 1 0 08 Aug 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 39 0 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
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
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 43 3 0 21 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
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 36 4 0 16 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
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
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 34 5 0 30 May 2024
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning Keltin Grimes Collin Abidi Cole Frank Shannon Gallagher AAML 30 2 0 29 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 34 14 0 13 May 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 18 0 04 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 37 3 0 04 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 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
Guardrail Baselines for Unlearning in LLMs Pratiksha Thaker Yash Maurya Shengyuan Hu Zhiwei Steven Wu Virginia Smith MU 51 38 0 05 Mar 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 43 26 0 02 Mar 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 50 34 0 23 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 14 0 21 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 18 3 0 07 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 44 4 0 02 Feb 2024
Unlearnable Algorithms for In-context Learning Andrei Muresanu Anvith Thudi Michael R. Zhang Nicolas Papernot MU 26 10 0 01 Feb 2024