Machine Unlearning

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Period ending 2026-09-21

4 new papers

A weekly snapshot of new work published in Machine Unlearning.

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Large Language Model Unlearning

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Machine Unlearning

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Unlearning Aims

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Several Approximate Unlearning Strategies

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Exact Unlearning

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164 papers

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ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models
May 7, 2026Yuhang Wang, Wenjie Mei, Junkai Zhang +3Large Language Model Unlearning Robust Multimodal Learning
Retain-Neutral Surrogates for Min-Max Unlearning
May 7, 2026Junhao Cai, Dohun Kim, Dowon Kim +4Several Approximate Unlearning Strategies Time-Step-Wise Learnable Surrogate Gradient Function
Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition
May 6, 2026Alexander VedernikovMachine Unlearning Retraining
Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
May 5, 2026JuneHyoung Kwon, JungMin Yun, YoungBin KimLarge Vision Language Models Unlearning Aims
Graph Federated Unlearning for Privacy Preservation
May 4, 2026Ruotong Ma, Wentao Yu, Qizhou Wang +2Federated Graph Learning Federated Learning
Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score
May 4, 2026Abdullah Ahmad Khan, Hamid Laga, Ferdous SohelLarge Language Model Unlearning Unimodal Representations
DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning
May 4, 2026Abdullah Ahmad Khan, Ferdous SohelMachine Unlearning Catastrophic Forgetting
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
May 3, 2026Chenchen Tan, Xinghao Li, Shujie Cui +3Unlearning Aims Independent Anchor Network
LLM Ghostbusters: Surgical Package Hallucination Suppression via Adaptive Unlearning
May 1, 2026Joseph Spracklen, Pedram Aghazadeh, Farinaz Koushanfar +1Large Language Model Hallucination Language Model Evasion Attacks
EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure
May 1, 2026Zihao Ding, Beining Wu, Jun HuangLarge Language Model Unlearning Cross-Modal Learning
Unlearning Offline Stochastic Multi-Armed Bandits
May 1, 2026Zichun Ye, Runqi Wang, Xuchuang Wang +3Unlearning Aims Multi-Armed Bandits
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
Apr 30, 2026Ishrak Hamim Mahi, Siam Ferdous, Md Sakib Sadman Badhon +4Machine Unlearning Several Approximate Unlearning Strategies
Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification
Apr 26, 2026Andreza M. C. Falcao, Filipe R. CordeiroMachine Unlearning Medical Image Classification
UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks
Apr 25, 2026Tianlong Yu, Yang Yang, Xiao Luo +6Language Model Evasion Attacks Large Language Model Unlearning
Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers
Apr 24, 2026Kennon StewartMachine Unlearning Zeroth-Order Optimization
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
Apr 23, 2026Xiaoyi Chen, Haoyuan Wang, Siyuan Tang +4Exact Unlearning Efficient Privacy Loss
CAP: Controllable Alignment Prompting for Unlearning in LLMs
Apr 23, 2026Zhaokun Wang, Jinyu Guo, Jingwen Pu +7Large Language Model Unlearning Large Language Model Alignment
Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks
Apr 22, 2026Aljalila Aladawi, Mohammed Talha Alam, Fakhri KarrayText-To-Image Diffusion Models Exact Unlearning
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
Apr 21, 2026Eun-Ju Park, Youjin Shin, Simon S. WooMachine Unlearning Forgetting
Representation-Guided Parameter-Efficient LLM Unlearning
Apr 19, 2026Zeguan Xiao, Lang Mo, Yun Chen +4Large Language Model Unlearning
Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
Apr 17, 2026Ziwen Liu, Huawei Lin, Yide Ran +5Large Language Model Unlearning Pareto Frontier
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
Apr 17, 2026Junyi Li, Yongqiang Chen, Ningning DingLarge Language Model Unlearning Large Reasoning Models
Towards Reliable Testing of Machine Unlearning
Apr 16, 2026Anna Mazhar, Sainyam GalhotraMachine Unlearning Unlearning Aims
Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation
Apr 16, 2026Yisheng Zhong, Sijia Liu, Zhuangdi ZhuLarge Language Model Unlearning Unlearning Aims
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
Apr 16, 2026Arman Hatami, Romina Aalishah, Ilya E. MonosovUnlearning Aims Retraining
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
Apr 16, 2026Zeguan Xiao, Siqing Li, Yong Wang +4Large Language Model Unlearning Large Language Model Post-Training
CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
Apr 16, 2026Seyun Bae, Seokhan Lee, Eunho YangLarge Language Model Unlearning Large Language Model Post-Training
TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning
Apr 2, 2026Zhanting Zhou, KaHou Tam, Zeyu Ma +2Machine Unlearning Multimodal Recommendation
GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping
Feb 21, 2026Chahana Dahal, Ashutosh Balasubramaniam, Zuobin XiongLarge Language Model Unlearning Knowledge Graphs
CALIBURN: Self-Calibrated LLM Unlearning Alignment
Feb 2, 2026Zhengbang Yang, Yisheng Zhong, Junyuan Hong +1Large Language Model Unlearning Large Language Model Alignment
Beyond Forgetting: Representation Misdirection Elicits Controllable Side Behaviors and Capabilities
Jan 29, 2026Tien Dang, The-Hai Nguyen, Dinh Mai Phuong +5Large Language Model Unlearning Representation-Level Certification
BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning
Jan 14, 2026Pengyang Shao, Naixin Zhai, Lei Chen +4Large Language Model Unlearning
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
Dec 4, 2025Guoshenghui Zhao, Huawei Lin, Weijie ZhaoLarge Language Model Unlearning
RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories
Dec 3, 2025Roy Rinberg, Usha Bhalla, Igor Shilov +2Large Language Model Unlearning Unlearning Aims
Locality-Aware Continual Unlearning for Diffusion Models
Dec 2, 2025Naveen George, Naoki Murata, Yuhta Takida +2Text-To-Image Diffusion Models Several Approximate Unlearning Strategies
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
Nov 25, 2025Zhen Zeng, Leijiang Gu, Zhangling Duan +4Large Language Model Unlearning Multi-Modal Large Language Models
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
Oct 6, 2025Kai Qin, Jiaqi Wu, Jianxiang He +8Large Language Model Unlearning Large Language Model Post-Training
OFMU: Optimization-Driven Framework for Machine Unlearning
Sep 26, 2025Sadia Asif, Mohammad Mohammadi AmiriMachine Unlearning Retention
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 Large Language Model Post-Training
Efficient Unlearning with Privacy Guarantees
Jul 7, 2025Josep Domingo-Ferrer, Najeeb Jebreel, David SánchezSeveral Approximate Unlearning Strategies AI Privacy Risks and Protection
Machine Unlearning via Information Theoretic Regularization
Feb 8, 2025Shizhou Xu, Thomas StrohmerSeveral Approximate Unlearning Strategies Machine Unlearning
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
Oct 20, 2024Shang Wang, Tianqing Zhu, Dayong Ye +1Large Language Model Unlearning Unlearning Aims
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge
Apr 8, 2024Weikai Lu, Ziqian Zeng, Jianwei Wang +5Large Language Model Jailbreaks Large Language Model Unlearning
The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation
Date pendingAaryaman Kalani, Murari Mandal, Dhruv Kumar +2Machine Unlearning Batch Normalization

May 7, 2026 · cs.AIJ/K move · Enter open · S save

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models

Yuhang Wang, Wenjie Mei, Junkai Zhang, Guangyu He+2

School of Computer Science and Technology Xidian University

Although Multimodal Large Language Models (MLLMs) have achieved remarkable progress across many domains, their training on large-scale multimodal datasets raises serious privacy concerns, making effective machine unlearning increasingly necessary. However, existing benchmarks mainly focus on static or short-sequence settings, offering limited support for evaluating continual privacy deletion requests in realistic deployments. To bridge this gap, we introduce ICU-Bench, a continual multimodal unlearning benchmark built on privacy-critical document data. ICU-Bench contains 1,000 privacy-sensitive profiles from two document domains, medical reports and labor contracts, with 9,500 images, 16,000 question-answer pairs, and 100 forget tasks. Additionally, new continual unlearning metrics are introduced, facilitating a comprehensive analysis of forgetting effectiveness, historical forgetting preservation, retained utility, and stability throughout the continual unlearning process. Through extensive experiments with representative unlearning methods on ICU-Bench, we show that existing methods generally struggle in continual settings and exhibit clear limitations in balancing forgetting quality, utility preservation, and scalability over long task sequences. These findings highlight the need for multimodal unlearning methods explicitly designed for continual privacy deletion.

Large Language Model Unlearning Robust Multimodal Learning Efficient Continual Learning Multimodal Learning History

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