Unlearning Method

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Repurposing Obsolete Representations for Post-Deployment Adaptation
Oct 1, 2026Daniel Bethell, Charmaine Barker, Simos GerasimouUnlearning Method Post-Deployment Adaptation
Department of Computer Science, University of York, UK · Department of Elect. Eng., and Computer Science and Eng., Cyprus University of Technology, Cyprus
Storage Is Not Strategy: State-Conditioned Support Control for LLM Unlearning
Sep 29, 2026Tianhao Qian, Ziming Hong, Chongyang Gao +2Large Language Model Unlearning Unlearning Method
Southeast University (seu.edu.cn) · University of Sydney (usyd.edu.au) · Northwestern University (northwestern.edu) +2
eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models
Sep 28, 2026Mansi, Nikhil Raghavan, Zixia Huang +4Text-To-Image Diffusion Models Text-To-Image
Imperial College London
You Can't Have It Both Ways: Concept Entanglement Limits Diffusion Model Unlearning
Sep 28, 2026Yian Wang, Ali Ebrahimpour-Boroojeny, Hari Sundaram +1Text-To-Image Diffusion Models Concept Erasure
University of Illinois Urbana-Champaign Urbana, IL, USA
Certifying Concept Unlearning in Text-to-Image Diffusion Models
Sep 14, 2026Mansi, Luca Marzari, Francesco LeofanteText-To-Image Diffusion Models Unlearning Method
Imperial College London · TU Wien
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
Sep 12, 2026Junlong Shen Xingyu LiModel Checkpoints Unlearning Method
University of Alberta Edmonton, Canada
K-Bench: A Benchmark for LLM Unlearning in Agentic Deployments
Sep 11, 2026Guangsheng Yu, Yanna Jiang, Qin Wang +2Large Language Model Unlearning Agentic Deployments
University of Technology Sydney, Australia · CSIRO, Australia
Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models
Aug 31, 2026Kangwook Ko, Jaehyuk Jang, Wonjun Lee +2Unlearning Method Multimodal Large Language Models
KAIST
Stress Testing Unlearning Algorithms
Aug 23, 2026Noam Diamant, Neta Glazer, Ethan FetayaLarge Language Model Unlearning Unlearning Method
Bar-Ilan University
An Empirical Study of Reward Specification and Benchmark Reliability in GRPO-based LLM Unlearning
Aug 18, 2026Rubén Balbastre, Juan Manuel Orduña, Mariano PérezLarge Language Model Unlearning Unlearning Method
University of Valencia
LEMUR: Latent Entropy-aware Multimodal Unlearning via Visual-anchored Reasoning Redirection
Aug 12, 2026Xinhao Zhong, Yuxia Qiao, Junhao Li +3Efficient Latent Reasoning Unlearning Method
3Pengcheng Laboratory · 1Harbin Institute of Technology, Shenzhen · 2Tsinghua University
Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning
Aug 11, 2026Zirui Song, Huaxing Liu, Xiang Wang +8Large Language Model Unlearning Unlearning Method
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) · AMAP, Alibaba Group · Peking University
Trajectory-Guided Forget-Recover Network for Continual LLM Unlearning
Aug 4, 2026Zezheng Wu, Xinghe Cheng, Qinggang Zhang +4Large Language Model Unlearning Unlearning Method
Guilin University of Electronic Technology · Jinan University · Jilin University +2
When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks
Jul 30, 2026Zihao Ding, Jun Huang, Liang DongUnlearning Method Federated Learning
Electrical Engr & Computer Science · South Dakota State University · Brookings, USA +3
Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning
Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2Unlearning Method Large Language Model Bias
University of Trento, Trento, Italy · Fondazione Bruno Kessler, Trento, Italy
Signal-Guided Optimization for Machine Unlearning
Jul 13, 2026Xujia Li, Dan Li, Jian Lou +1Machine Unlearning Unlearning Method
University of Science and Technology of China · Sun Yat-sen University
Auditing of Unlearning Algorithms
Jul 7, 2026Sahasrajit Sarmasarkar, Anastasia Koloskova, Sanmi KoyejoUnlearning Method Membership Inference Attacks
Stanford University · University of Zurich
Association Restoration Test: Revealing Restorable Shortcuts after Unlearning
Jul 7, 2026Amy Lu, Changxiu JiShortcut Learning Unlearning Method
Department of Computer Science, Stanford University
Efficient bias mitigation in T2I diffusion models using Concept Graphs
Jul 3, 2026Mansi, Avinash Kori, Francesco LeofanteText-To-Image Diffusion Models Diffusion Alignment
Department of Computing Imperial College London
CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence
Jun 26, 2026Zhiqiang Xie, Yijing Lin, Zhipeng Gao +1Large Language Model Unlearning Unlearning Method
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications · Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing · Department of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea
Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning
Jun 24, 2026Poojitha Thota, Shirin NilizadehSummarization Poisoning
The University of Texas at Arlington Arlington, Texas, USA
DFMU: Data-Frugal Machine Unlearning
Jun 24, 2026Sajith U, Prateek KeserwaniMachine Unlearning Unlearning Method
Samsung R&D Institute India-Bangalore, India
Fair Cognitive Impairment Detection Through Unlearning
Jun 17, 2026William Nguyen, Jiali Cheng, Hadi AmiriMild Cognitive Impairment Unlearning Method
University of Massachusetts Lowell, USA
Auditing Machine Unlearning: A Systematic Research on Whether Models Truly Forget
Jun 15, 2026Dayong Ye, Tianqing Zhu, Ruiding Huang +5Machine Unlearning Unlearning Method
Backdoor Unlearning Generalization: A Path Toward the Removal of Unknown Triggers in LLMs
Jun 2, 2026Lisa Bouger, Théo Lasnier, Philippe Loubet Moundi +2Large Language Model Unlearning Unlearning Method
1Inria Paris · 2Sorbonne Université · 3Thales CDI
Multi-Objective Reference-Aligned Machine Unlearning
May 29, 2026Rasa Khosrowshahli, Stephen Asobiela, Beatrice Ombuki-Berman +1Machine Unlearning Exact Unlearning
Department of Computer Science, Brock University, St. Catharines, ON, Canada · Yousef Haj-Ahmad Department of Engineering, Brock University, St. Catharines, ON, Canada
SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation
May 29, 2026Petros Andreou, Jamie Lanyon, Axel Finke +1Machine Unlearning Unlearning Method
Department of Computer Science, School of Science, Loughborough University, Loughborough, UK · School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
May 29, 2026Polina Dolgova, Sebastian U. StichMachine Unlearning Unlearning Method
CISPA Helmholtz Center for Information Security · Universität des Saarlandes · Saarbrücken, Germany
AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis
May 28, 2026Saeedeh Davoudi, Reihaneh Iranmanesh, Ophir Frieder +1Unlearning Method Exact Unlearning
1IR Lab, Computer Science Department, Georgetown University, Washington D.C.
ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules
May 26, 2026Ruihao Pan, Suhang WangLarge Language Model Unlearning Unlearning Method
Pennsylvania State University
Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
May 26, 2026Junkai Chen, Yuhao He, Junxiang You +3Large Language Model Unlearning Unlearning Method
Institute of Automation, Chinese Academy of Sciences · School of Advanced Interdisciplinary Sciences, UCAS
Image Feature Fusion-based Federated Client Unlearning (FCU)
May 26, 2026Hangyi Shen, Yizhi Pan, Tiansuo Li +2Unlearning Method Forgetting
11Hangzhou Medical College, Hangzhou, China
Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
May 25, 2026Saemi Moon, Suhyeon Jun, Seoyeon Lee +1Text-To-Image Diffusion Models Diffusion Models
CSE, POSTECH · GSAI, POSTECH
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
May 20, 2026Divyaksh Shukla, Ashutosh ModiUnlearning Method Decisions
Indian Institute of Technology Kanpur (IIT Kanpur)
Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
May 16, 2026Puning Yang, Junchi Yu, Qizhou Wang +3Large Language Model Unlearning Unlearning Method
Department of Natural Language Processing, MBZUAI. · University of Oxford. · RIKEN Center for Advanced Intelligence Project. +1
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
May 15, 2026Jiahui Guang, Haiyan Wang, Yingjie Zhu +4Large Language Model Unlearning Multimodal Large Language Models
Harbin Institute of Technology, Shenzhen, China · Peng Cheng Laboratory, Shenzhen, China · The Hong Kong Polytechnic University, Hong Kong, China +1
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
May 11, 2026Ahmed Mehdi Inane, Vincent Quirion, Gintare Karolina Dziugaite +1Unlearning Method Membership Inference Attacks
Universit´e de Montr´eal · Mila, Quebec AI Institute · Google DeepMind
Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models
May 8, 2026Kaidi Jia, Yujie Lin, Chengyi Yang +2Recent Vision-Language Models Large Language Model Hallucination
1Xiamen University
Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
May 5, 2026JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3Large Language Model Unlearning Unlearning Method
Department of Artificial Intelligence, Chung-Ang University · KT Corporation · Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University
Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
May 5, 2026JuneHyoung Kwon, JungMin Yun, YoungBin KimUnlearning Method Multimodal Evaluation
Department of Artificial Intelligence, Chung-Ang University · Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University
Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance
May 3, 2026Anamika Paul Rupa, Anietie AndyMemorization Signatures
Howard University
Unlearning Offline Stochastic Multi-Armed Bandits
May 1, 2026Zichun Ye, Runqi Wang, Xuchuang Wang +3Machine Unlearning Unlearning Method
Shanghai Jiao Tong University, Shanghai, China · University of Massachusetts Amherst, Massachusetts, United States · University of Washington, Tacoma, United States
Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning
May 1, 2026Jiawei Wu, Doudou ZhouLarge Language Model Unlearning Unlearning Method
Department of Statistics and Data Science, National University of Singapore.
Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification
Apr 26, 2026Andreza M. C. Falcao, Filipe R. CordeiroMachine Unlearning Unlearning Method
Visual Computing Lab, Departamento de Computacao, Universidade Federal Rural de Pernambuco (UFRPE), Brasil
Towards Reliable Testing of Machine Unlearning
Apr 16, 2026Anna Mazhar, Sainyam GalhotraMachine Unlearning Unlearning Method
Cornell University Ithaca, NY, USA
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
Apr 16, 2026Arman Hatami, Romina Aalishah, Ilya E. MonosovExact Unlearning Unlearning Method
Johns Hopkins University
CALIBURN: Self-Calibrated LLM Unlearning Alignment
Feb 2, 2026Zhengbang Yang, Yisheng Zhong, Junyuan Hong +1Large Language Model Unlearning Unlearning Method
George Mason University · National University of Singapore
RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories
Dec 3, 2025Roy Rinberg, Usha Bhalla, Igor Shilov +2Large Language Model Unlearning Unlearning Method
Harvard University · MATS · Imperial College London +1
Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Guidance with Proxy Constraint
Aug 28, 2025Zhihao Liu, Jian Lou, Yuke Hu +6Large Language Model Unlearning Unlearning Method
Zhejiang University · Sun Yat-sen University · UNC Greensboro +1
The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation
Date pendingAaryaman Kalani, Murari Mandal, Dhruv Kumar +2Machine Unlearning Batch Normalization
BITS Pilani · KIIT Bhubaneswar · National University of Singapore

Oct 1, 2026, cs.LGJ/K move · Enter open · S save

Repurposing Obsolete Representations for Post-Deployment Adaptation

Daniel Bethell, Charmaine Barker, Simos Gerasimou

Department of Computer Science, University of York, UK · Department of Elect. Eng., and Computer Science and Eng., Cyprus University of Technology, Cyprus

Unlearning Method Post-Deployment Adaptation

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Deep neural networks are increasingly deployed in long-lived systems, where task requirements may change after training. In such settings, part of the original output space may become obsolete: a class, prediction region, or learned behaviour may no longer be valid. Existing approaches either leave the obsolete behaviour intact or require fine-tuning, which can be expensive. We propose Deep Repurposing (DR), a post-hoc framework for adapting models under task obsolescence. DR estimates the latent geometry of obsolete and retained regions, removes obsolete-supporting components, and reallocates retained-compatible evidence through an analytic repair map without gradient updates. This yields repaired predictions and representations in which obsolete regions no longer act as valid outputs, while useful obsolete structure can support the retained task. Across multiple task settings, DR removes obsolete behaviour while preserving retained utility. More importantly, across classification benchmarks, DR matches or exceeds competing unlearning and editing baselines in retained accuracy, eliminates obsolete predictions, and adapts up to

60\times

faster than competing unlearning methods.

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