Machine Unlearning

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Period ending 2026-09-21

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164 papers

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  1. Cascade: Hierarchical Recoverability Control for Large Language Model Unlearning

    Sep 15, 2026Qingchen Yu, Shiying Duan, Xiaodong Li +5Large Language Model Unlearning

  2. GRIN+: Towards Fast Yet Effective Machine Unlearning for Imbalanced Medical Data

    Sep 14, 2026Minghui Huang, Junxiao WangMachine UnlearningExtreme Class Imbalance

  3. Correlation-Guided Fast Machine Unlearning via Hessian Analysis

    Sep 14, 2026Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal +1Several Approximate Unlearning StrategiesMachine Unlearning

  4. Do Influence-Derived Data Perturbations Enable Machine Unlearning? A Controlled Study of Three Plausible Roles

    Sep 14, 2026Chenkai Wu, Chrispine Kambimbi, Qinyang Zeng +1Machine UnlearningPerturbations

  5. 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 LiUnlearning AimsRecalibration

  6. K-Bench: A Benchmark for LLM Unlearning in Agentic Deployments

    Sep 11, 2026Guangsheng Yu, Yanna Jiang, Qin Wang +2Large Language Model UnlearningAgent Framework

  7. Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs

    Sep 9, 2026Ravi Ranjan, Olivera Kotevska, Agoritsa PolyzouLarge Language Model UnlearningSeveral Approximate Unlearning Strategies

  8. Extracting Forgotten Prompts from Targeted Unlearned Models

    Sep 3, 2026Au Ashley Hoi-Ting, Meghdad Kurmanji, William F. Shen +2Exact UnlearningPrompt Engineering

  9. Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning

    Sep 2, 2026Zahra Dehghani, Pablo Piantanida, Mohammadhadi ShateriMachine UnlearningRetraining

  10. Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning

    Sep 1, 2026Miso Kim, Georu Lee, Seungwon Jeong +1Large Language Model UnlearningForgetting

  11. Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models

    Aug 31, 2026Kangwook Ko, Jaehyuk Jang, Wonjun Lee +2Several Approximate Unlearning StrategiesUnlearning Aims

  12. The Nearest Target Is the Wrong One: Target Separation in Arc2Face Identity Unlearning

    Aug 30, 2026Zeynel TokIdentityUnlearning Aims

  13. Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction

    Aug 30, 2026João L. P. Santana, Filipe R. CordeiroNoisy LabelsMachine Unlearning

  14. On the Recoverability of Private Information Unlearning in Large Language Models

    Aug 30, 2026Shicheng Hu, Runzhi Tian, Ziqiao Wang +1Large Language Model UnlearningExact Unlearning

  15. Stress Testing Unlearning Algorithms

    Aug 23, 2026Noam Diamant, Neta Glazer, Ethan FetayaLarge Language Model Unlearning

  16. LEMUR: Latent Entropy-aware Multimodal Unlearning via Visual-anchored Reasoning Redirection

    Aug 12, 2026Xinhao Zhong, Yuxia Qiao, Junhao Li +3Efficient Latent ReasoningUnlearning Aims

  17. Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning

    Aug 11, 2026Zirui Song, Huaxing Liu, Xiang Wang +8Large Language Model UnlearningData Leakage

  18. PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models

    Aug 11, 2026Huafeng Chen, Yueming Lyu, Ziyuan Chen +4Large Language Model UnlearningMulti-Modal Large Language Models

  19. OBLIVION: Workflow-Level Operational Skill Unlearning for Deployed Agents

    Aug 8, 2026Zhengyang Shan, Xu Qian, Jiayun Xin +3Unlearning AimsRemediation

  20. A Model Merging Approach for Continual MLLM Unlearning

    Aug 5, 2026Yuhang Wang, Linlin Zhang, Haoxuan Ji +3Large Language Model UnlearningMachine Unlearning

  21. Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness

    Aug 5, 2026Haoting Qian, Qingjie Zhang, Zhicong Huang +2Large Language Model UnlearningUnlearning Aims

  22. Does Forgetting Transfer Across Modalities? A Real-World Benchmark for Cross-Modal Knowledge Unlearning Evaluation

    Aug 4, 2026Chunlin Liu, Junnian Chen, Haitong Jiang +7Large Language Model UnlearningCross-Modal Learning

  23. Trajectory-Guided Forget-Recover Network for Continual LLM Unlearning

    Aug 4, 2026Zezheng Wu, Xinghe Cheng, Qinggang Zhang +4Large Language Model UnlearningRetraining

  24. SCOPE: Entanglement Frontier Escape for Source-Free Class Unlearning

    Aug 3, 2026Junhao Cai, Dohun Kim, Sung Il Choi +4Exact UnlearningConcept Erasure

  25. Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models

    Aug 3, 2026Junxiang You, Junkai Chen, Yuhao He +3Large Language Model UnlearningMachine Unlearning

  26. QR-Erase: Efficient Subspace-Based Machine Unlearning with Layer Localization

    Aug 2, 2026Tyler Lizzo, Larry HeckMachine UnlearningSingular Value Decomposition

  27. Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models

    Aug 2, 2026Junkai Lin, Junkai Chen, Siqi Hou +5Large Language Model UnlearningMulti-Modal Large Language Models

  28. Generated Images Are Easier to Forget: A Machine Unlearning Perspective for Synthetic Image Detection

    Aug 1, 2026Jun Nie, Yonggang Zhang, Tongliang Liu +3Synthetic Image DetectionVision Datasets

  29. Similarity-Aware Machine Unlearning

    Jul 31, 2026Madhavan Citalamangalam Kumaran, Midhun Parakkal Unni, Vicky Kouni +1Machine UnlearningRetraining

  30. TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text

    Jul 30, 2026Chengshuai Zhao, Pingchuan Ma, Dawei Li +4Language Model Evasion AttacksLarge Language Model Unlearning

  31. Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration

    Jul 30, 2026Xiangyu Yin, Jiaxu Liu, Zhen Chen +1Large Language Model UnlearningBias Learning

  32. Understanding Machine Unlearning Through the Lens of Mode Connectivity

    Jul 27, 2026Jiali Cheng, Hadi AmiriMachine UnlearningSingular Learning Theory

  33. DECAF: De-Clustering for Adaptive Representational Unlearning

    Jul 27, 2026Anjie Le, Can Peng, Hongcheng Guo +1Machine UnlearningSeveral Approximate Unlearning Strategies

  34. Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class Unlearning

    Jul 23, 2026Billel Habbati, Alessio Merlo, Luca Verderame +1Several Approximate Unlearning StrategiesCatastrophic Forgetting

  35. Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning

    Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2Large Language Model UnlearningLarge Language Model Bias

  36. On Optimization Complexity of Second-Order Certified Unlearning

    Jul 22, 2026Nikita Doikov, Anastasia KoloskovaSeveral Approximate Unlearning StrategiesMachine Unlearning

  37. Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning

    Jul 21, 2026Zijie Liu, Jinhao Duan, Gaowen Liu +2Large Language Model UnlearningLarge Language Model Backbones

  38. One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models

    Jul 17, 2026Sudharshan Balaji, Yili Ren, Guangjing Wang +2Large Language Model UnlearningCross-Modal Learning

  39. Forgetful Attention: A Trainable Support-Vector Memory with Certified Selection and Exact Unlearning

    Jul 13, 2026Vishwajith RameshSoftmax AttentionForgetting

  40. Signal-Guided Optimization for Machine Unlearning

    Jul 13, 2026Xujia Li, Dan Li, Jian Lou +1Machine UnlearningPrivacy-Preserving Framework

  41. Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs

    Jul 12, 2026Shrestha Datta, Hongfu Liu, Anshuman ChhabraModel WeightsImportance

  42. Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem

    Jul 10, 2026Amit Peleg, Naman Deep Singh, Naama Pearl +2Large Language Model UnlearningUnlearning Aims

  43. AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate

    Jul 9, 2026Siyuan Wen, Jiahao Zeng, Ningning DingText-To-Image Diffusion ModelsExact Unlearning

  44. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

    Jul 8, 2026Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu +1Large Language Model UnlearningCross-Modal Learning

  45. POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking

    Jul 7, 2026Zhangheng LI, Jianing Zhu, Junyuan Hong +4Large Language Model UnlearningMulti-Modal Large Language Models

  46. Auditing of Unlearning Algorithms

    Jul 7, 2026Sahasrajit Sarmasarkar, Anastasia Koloskova, Sanmi KoyejoUnlearning AimsMembership Inference Attacks

  47. Association Restoration Test: Revealing Restorable Shortcuts after Unlearning

    Jul 7, 2026Amy Lu, Changxiu JiShortcutsUnlearning Aims

  48. MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination

    Jul 3, 2026Rui Zuo, Qinwei Huang, Mingyang Li +3Multi-Agent Reinforcement LearningMulti-Robot Systems

  49. Efficient bias mitigation in T2I diffusion models using Concept Graphs

    Jul 3, 2026Mansi, Avinash Kori, Francesco LeofanteText-To-Image Diffusion ModelsVideo-Text Alignment

  50. PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement

    Jul 3, 2026Xianren Zhang, Delvin Ce Zhang, Dongwon Lee +1Large Language Model UnlearningEfficient Privacy Loss

  51. LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning

    Jul 2, 2026Matteo Boglioni, Thibault Rousset, Siva Reddy +2Several Approximate Unlearning StrategiesLanguage Model Evasion Attacks

  52. Auditing Forgetting in Limited Memory Language Models

    Jul 1, 2026Arya Raeesi, Hanna RoedLarge Language Model UnlearningLarge Language Model Memory

  53. The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning

    Jun 29, 2026Yiting Hu, Lingjie Duan, Qian ZhangEfficient Continual LearningUnlearning Aims

  54. CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence

    Jun 26, 2026Zhiqiang Xie, Yijing Lin, Zhipeng Gao +1Large Language Model Unlearning

  55. Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning

    Jun 24, 2026Poojitha Thota, Shirin NilizadehSummarizationData Poisoning

  56. DFMU: Data-Frugal Machine Unlearning

    Jun 24, 2026Sajith U, Prateek KeserwaniMachine UnlearningSeveral Approximate Unlearning Strategies

  57. GDGU: A Gradient Difference-based Graph Unlearning Method for Cyberattack Localization in Electric Vehicle Charging Networks

    Jun 17, 2026Nanhong Liu, Mucun Sun, Jie ZhangElectric VehiclesAttack Detection

  58. Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning

    Jun 17, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1Several Approximate Unlearning StrategiesReinforcement Learning With Verifiable Reward

  59. Machine Unlearning for the XGBoost Model with Network Intrusion Datasets

    Jun 17, 2026Diana Magalhães, Eva Maia, João Vitorino +1Machine UnlearningXgboost

  60. Fair Cognitive Impairment Detection Through Unlearning

    Jun 17, 2026William Nguyen, Jiali Cheng, Hadi AmiriMild Cognitive ImpairmentRobust Multimodal Learning