Machine Unlearning

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Machine Unlearning is a process that allows a machine learning model to forget specific data points, ensuring that the model can be updated without retaining sensitive or outdated information.

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Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting James Jin Kang Dang Bui Thanh Pham Huo-Chong Ling MU 56 0 0 13 Nov 2025
Probing then Editing: A Push-Pull Framework for Retain-Free Machine Unlearning in Industrial IoT Jiao Chen Weihua Li Jianhua Tang MU KELM 4 0 0 12 Nov 2025
Spatio-Temporal Graph Unlearning Qiming Guo Wenbo Sun Wenlu Wang MU 20 0 0 12 Nov 2025
Towards Provably Unlearnable Examples via Bayes Error Optimisation Ruihan Zhang Jun Sun Ee-Peng Lim Peixin Zhang MU 28 0 0 11 Nov 2025
Learning to Fast Unrank in Collaborative Filtering Recommendation Junpeng Zhao Lin Li Ming Li Amran Bhuiyan Jimmy Xiangji Huang MU 24 0 0 10 Nov 2025
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models K. Li Wenhao Li Di Wu Lei Yang Jun Bai Ju Jia Jason Xue MU KELM 12 0 0 10 Nov 2025
Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning Lisong He Yi Yang Xiangyu Chang MU 52 0 0 10 Nov 2025
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks Stefano Ferraro Akihiro Nakano Masahiro Suzuki Yutaka Matsuo OCL MU 104 0 0 08 Nov 2025
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning Y. Wang Chris Yuhao Liu Quan Liu Jinglong Pang Wei Wei Yujia Bao Yang Liu MU 20 1 0 08 Nov 2025
Leak@ $k$ : Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding Hadi Reisizadeh Jiajun Ruan Yiwei Chen Soumyadeep Pal Sijia Liu Mingyi Hong MU 92 0 0 07 Nov 2025
PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis Mingliang Hou Yinuo Wang Teng Guo Zitao Liu Wenzhou Dou Jiaqi Zheng Renqiang Luo Mi Tian Weiqi Luo MU 128 0 0 06 Nov 2025
REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs Liran Cohen Yaniv Nemcovesky Avi Mendelson MU AAML CLL KELM 90 0 0 06 Nov 2025
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models Aashray Reddy Andrew Zagula Nicholas Saban Kevin Zhu AAML MU SILM 232 0 0 04 Nov 2025
The Realignment Problem: When Right becomes Wrong in LLMs Aakash Sen Sharma Debdeep Sanyal Vivek Srivastava Shirish Karande Murari Mandal MU 28 0 0 04 Nov 2025
Improving Unlearning with Model Updates Probably Aligned with Gradients Virgile Dine Teddy Furon Charly Faure MU 32 0 0 04 Nov 2025
Protecting the Neural Networks against FGSM Attack Using Machine Unlearning Amir Hossein Khorasani Ali Jahanian Maryam Rastgarpour AAML MU 36 0 0 03 Nov 2025
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment Abhiram Kusumba Maitreya Patel Kyle Min Changhoon Kim Chitta Baral Yezhou Yang MU 156 0 0 02 Nov 2025
On the limitation of evaluating machine unlearning using only a single training seed Jamie Lanyon Axel Finke Petros Andreou Georgina Cosma MU 131 0 0 30 Oct 2025
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines Minyi Peng Darian Gunamardi Ivan Tjuawinata K. Lam MU 102 0 0 30 Oct 2025
A Survey on Unlearning in Large Language Models Ruichen Qiu Jiajun Tan Jiayue Pu Honglin Wang Xiao-Shan Gao Fei Sun MU AILaw PILM 181 0 0 29 Oct 2025
The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework Aakriti Shah Thai Le MU KELM 48 0 0 29 Oct 2025
Uncovering the Potential Risks in Unlearning: Danger of English-only Unlearning in Multilingual LLMs Kyomin Hwang Hyeonjin Kim Seungyeon Kim Sunghyun Wee Nojun Kwak MU 112 0 0 28 Oct 2025
Probing Knowledge Holes in Unlearned LLMs Myeongseob Ko H. Just Charles Fleming Ming Jin R. Jia MU 136 0 0 27 Oct 2025
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models Hao Zheng Zirui Pang Ling Li Zhijie Deng Yuhan Pu Zhaowei Zhu Xiaobo Xia Jiaheng Wei MU 54 0 0 26 Oct 2025
Label Smoothing Improves Gradient Ascent in LLM Unlearning Zirui Pang Hao Zheng Zhijie Deng Ling Li Zixin Zhong Jiaheng Wei MU 68 0 0 25 Oct 2025
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery Shiji Zhou Tianbai Yu Zhi Zhang Heng Chang Xiao Zhou Dong Wu Han Zhao MU 141 0 0 25 Oct 2025
Leverage Unlearning to Sanitize LLMs Antoine Boutet Lucas Magnana MU MedIm 100 0 0 24 Oct 2025
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems Fengyuan Yu Yuyuan Li Xiaohua Feng Junjie Fang Tao Wang Chaochao Chen MU 80 0 0 23 Oct 2025
Graph Unlearning Meets Influence-aware Negative Preference Optimization Qiang Chen Zhongze Wu Ang He Xi Lin Shuo Jiang Shan You Chang Xu Yi-Ling Chen Xiu Su MU 48 1 0 22 Oct 2025
LLM Unlearning with LLM Beliefs Kemou Li Qizhou Wang Y. Wang Fengpeng Li Jun Liu Bo Han Jiantao Zhou MU KELM 85 0 0 22 Oct 2025
Controllable Machine Unlearning via Gradient Pivoting Youngsik Hwang Dong-Young Lim MU 121 0 0 22 Oct 2025
Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection Jinseong Park Mijung Park DiffM MU 139 0 0 20 Oct 2025
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting Chenchen Tan Youyang Qu X. Li Hui Zhang Shujie Cui Cunjian Chen Longxiang Gao MU 97 0 0 20 Oct 2025
Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models Yuefeng Peng Parnian Afshar Megan Ganji Thomas Butler Amir Houmansadr Mingxian Wang Dezhi Hong KELM MU CLL 69 0 0 20 Oct 2025
Hierarchical Federated Unlearning for Large Language Models Yisheng Zhong Zhengbang Yang Zhuangdi Zhu MU 50 0 0 19 Oct 2025
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning Bingqi Shang Yiwei Chen Yihua Zhang Bingquan Shen Sijia Liu MU KELM AAML 92 0 0 19 Oct 2025
On the Impossibility of Retrain Equivalence in Machine Unlearning Jiatong Yu Yinghui He Anirudh Goyal Sanjeev Arora MU 78 0 0 18 Oct 2025
The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI Alex Zhavoronkov Dominika Wilczok Roman V. Yampolskiy KELM MU 124 0 0 17 Oct 2025
Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models Shuang Liang Zhihao Xu Jialing Tao Hui Xue Xiting Wang AAML MU 91 0 0 17 Oct 2025
Backdoor Unlearning by Linear Task Decomposition Amel Abdelraheem Alessandro Favero Gérôme Bovet Pascal Frossard AAML MU 81 0 0 16 Oct 2025
Provable Unlearning with Gradient Ascent on Two-Layer ReLU Neural Networks Odelia Melamed Gilad Yehudai Gal Vardi MU MLT 78 0 0 16 Oct 2025
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach Aaradhya Pandey Arnab Auddy Haolin Zou A. Maleki Sanjeev Kulkarni MU 40 0 0 15 Oct 2025
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity Riccardo Santi Riccardo Salami Simone Calderara MU 60 0 0 15 Oct 2025
Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check Sungjun Cho Dasol Hwang Frederic Sala Sangheum Hwang Kyunghyun Cho Sungmin Cha DiffM MU 68 0 0 14 Oct 2025
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data Changsheng Wang Yihua Zhang Dennis L. Wei Jinghan Jia Pin-Yu Chen Sijia Liu MU 64 0 0 10 Oct 2025
SIMU: Selective Influence Machine Unlearning Anu Agarwal Mihir Pamnani Dilek Hakkani-Tur MU 32 0 0 09 Oct 2025
Approximate Domain Unlearning for Vision-Language Models Kodai Kawamura Yuta Goto Rintaro Yanagi Hirokatsu Kataoka Go Irie MU VLM 85 0 0 09 Oct 2025
Cross-Modal Attention Guided Unlearning in Vision-Language Models Karuna Bhaila Aneesh Komanduri Minh-Hao Van Xintao Wu MU 92 0 0 08 Oct 2025
LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics Chongyu Fan Changsheng Wang Yancheng Huang Soumyadeep Pal Sijia Liu MU ELM 72 0 0 08 Oct 2025
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy Z. Huang Di Wu Jun Bai Jiale Zhang Sicong Cao J. Zhang Yingjie Hu MU 93 0 0 08 Oct 2025

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