Unlearning Aims

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  1. 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 CheckpointsUnlearning Aims

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

    Aug 31, 2026Kangwook Ko, Jaehyuk Jang, Wonjun Lee +2Large Language Model UnlearningMachine Unlearning

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

    Aug 30, 2026Zeynel TokIdentityUnlearning Aims

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

    Aug 12, 2026Xinhao Zhong, Yuxia Qiao, Junhao Li +3Large Language Model UnlearningMultimodal Reasoning

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

    Aug 11, 2026Zirui Song, Huaxing Liu, Xiang Wang +8Large Language Model UnlearningUnlearning Aims

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

    Aug 8, 2026Zhengyang Shan, Xu Qian, Jiayun Xin +3Agent Skill LibrariesUnlearning Aims

  7. 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

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

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

  9. When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks

    Jul 30, 2026Zihao Ding, Jun Huang, Liang DongMachine UnlearningUnlearning Aims

  10. LU-500: A Logo Benchmark for Concept Unlearning

    Jul 27, 2026Keyu Li, Jin Gao, Jialing Zhang +1Unlearning Aims

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

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

  12. Signal-Guided Optimization for Machine Unlearning

    Jul 13, 2026Xujia Li, Dan Li, Jian Lou +1Machine UnlearningUnlearning Aims

  13. TILDE: TILt-based Distributional Erasure for Concept Unlearning

    Jul 7, 2026Naveen George, Naoki Murata, Yuhta Takida +2Text-To-Image Diffusion ModelsConcept Erasure

  14. Auditing of Unlearning Algorithms

    Jul 7, 2026Sahasrajit Sarmasarkar, Anastasia Koloskova, Sanmi KoyejoMachine UnlearningUnlearning Aims

  15. Association Restoration Test: Revealing Restorable Shortcuts after Unlearning

    Jul 7, 2026Amy Lu, Changxiu JiShortcutsUnlearning Aims

  16. MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs

    Jul 4, 2026Shubhadip Nag, Srinjoy Das, Agniva Saha +5Large Language Model UnlearningAdversarial Prompts

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

    Jul 3, 2026Rui Zuo, Qinwei Huang, Mingyang Li +3Multi-Agent Reinforcement LearningMachine Unlearning

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

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

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

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

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

    Jun 24, 2026Poojitha Thota, Shirin NilizadehSummarizationData Poisoning

  21. DFMU: Data-Frugal Machine Unlearning

    Jun 24, 2026Sajith U, Prateek KeserwaniMachine UnlearningUnlearning Aims

  22. Fair Cognitive Impairment Detection Through Unlearning

    Jun 17, 2026William Nguyen, Jiali Cheng, Hadi AmiriAlzheimerMultimodal Learning

  23. PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning

    Jun 16, 2026Bo Su, Ankit Shah, Thai LeLarge Language Model UnlearningUnlearning Aims

  24. Auditing Machine Unlearning: A Systematic Research on Whether Models Truly Forget

    Jun 15, 2026Dayong Ye, Tianqing Zhu, Ruiding Huang +5Machine UnlearningUnlearning Aims

  25. ROMPAR: Morphological Completion and Demographic Unlearning for Romanian-Accented Speech Recognition

    Jun 14, 2026Andrei-Marius Avram, Aureliu-Valentin Antonie, Ştefan-Bogdan Badea +3Automatic Speech RecognitionCorpus

  26. Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning

    Jun 10, 2026Weijie Chen, Alan B. McMillanPrivacy-Preserving FrameworkAdversarial Transferability

  27. REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference

    Jun 5, 2026Anurag Sharma, Sai Teja Chunchu, Prasenjit Mitra +2Real-World Clinical DatasetUnlearning Aims

  28. Backdoor Unlearning Generalization: A Path Toward the Removal of Unknown Triggers in LLMs

    Jun 2, 2026Lisa Bouger, Théo Lasnier, Philippe Loubet Moundi +2Backdoor AttacksLarge Language Model Unlearning

  29. Multi-Objective Reference-Aligned Machine Unlearning

    May 29, 2026Rasa Khosrowshahli, Stephen Asobiela, Beatrice Ombuki-Berman +1Machine UnlearningUnlearning Aims

  30. SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation

    May 29, 2026Petros Andreou, Jamie Lanyon, Axel Finke +1Machine UnlearningUnlearning Aims

  31. Image Feature Fusion-based Federated Client Unlearning (FCU)

    May 26, 2026Hangyi Shen, Yizhi Pan, Tiansuo Li +2Machine UnlearningUnlearning Aims

  32. Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models

    May 25, 2026Arian Komaei Koma, Seyed Amir Kasaei, AmirMahdi Sadeghzadeh +1Text-To-Image Diffusion ModelsAdversarial Prompts

  33. Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models

    May 25, 2026Saemi Moon, Suhyeon Jun, Seoyeon Lee +1Text-To-Image Diffusion ModelsDiffusion Models

  34. PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

    May 21, 2026Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3Face GenerationIdentity

  35. Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models

    May 20, 2026Divyaksh Shukla, Ashutosh ModiLarge Language Model UnlearningLarge Language Model Reliability

  36. Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning

    May 16, 2026Puning Yang, Junchi Yu, Qizhou Wang +3Large Language Model UnlearningUnlearning Aims

  37. ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models

    May 16, 2026Yujie Lin, Chengyi Yang, Zhishang Xiang +2Large Language Model UnlearningMachine Unlearning

  38. ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models

    May 15, 2026Jiahui Guang, Haiyan Wang, Yingjie Zhu +4Large Language Model UnlearningLarge Multimodal Models

  39. Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning

    May 12, 2026Hyeonjin Kim, Hangyeol Jung, Heechan Yun +2Text-To-Image Diffusion ModelsUnlearning Aims

  40. Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data

    May 11, 2026Ahmed Mehdi Inane, Vincent Quirion, Gintare Karolina Dziugaite +1Machine UnlearningUnlearning Aims

  41. Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models

    May 8, 2026Kaidi Jia, Yujie Lin, Chengyi Yang +2Large Language Model HallucinationVision Encoders

  42. Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks

    May 5, 2026JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3Large Language Model UnlearningUnlearning Aims

  43. Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models

    May 5, 2026JuneHyoung Kwon, JungMin Yun, YoungBin KimLarge Language Model UnlearningMultimodal Evaluation

  44. Unlearning Offline Stochastic Multi-Armed Bandits

    May 1, 2026Zichun Ye, Runqi Wang, Xuchuang Wang +3Machine UnlearningUnlearning Aims

  45. Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning

    May 1, 2026Jiawei Wu, Doudou ZhouLarge Language Model UnlearningUnlearning Aims

  46. Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification

    Apr 26, 2026Andreza M. C. Falcao, Filipe R. CordeiroMachine UnlearningUnlearning Aims

  47. Towards Reliable Testing of Machine Unlearning

    Apr 16, 2026Anna Mazhar, Sainyam GalhotraMachine UnlearningUnlearning Aims

  48. Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

    Apr 16, 2026Yisheng Zhong, Sijia Liu, Zhuangdi ZhuLarge Language Model UnlearningUnlearning Aims

  49. Class Unlearning via Depth-Aware Removal of Forget-Specific Directions

    Apr 16, 2026Arman Hatami, Romina Aalishah, Ilya E. MonosovMachine UnlearningUnlearning Aims

  50. GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping

    Feb 21, 2026Chahana Dahal, Ashutosh Balasubramaniam, Zuobin XiongLarge Language Model UnlearningUnlearning Aims

  51. CALIBURN: Self-Calibrated LLM Unlearning Alignment

    Feb 2, 2026Zhengbang Yang, Yisheng Zhong, Junyuan Hong +1Large Language Model UnlearningUnlearning Aims

  52. RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories

    Dec 3, 2025Roy Rinberg, Usha Bhalla, Igor Shilov +2Large Language Model UnlearningUnlearning Aims

  53. The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation

    Date pendingAaryaman Kalani, Murari Mandal, Dhruv Kumar +2Machine UnlearningBatch Normalization