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arXivMachine unlearning

UnAct: Gradient-Free Unlearning via Targeted Activation Intervention

UnAct uses gradient-free targeted activation interventions to unlearn model classes from few forget images without gradients, labels, or retained data, matching or exceeding SSD and LFSSD accuracy across datasets and preventing network collapse with scarce data.

Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani, Janibul Bashir

Published Oct 3, 2026 · ▲ 4 on Hugging Face · Code ★ 1

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arXivMIREA - Russian TechnologicalRussian Science FoundationMachine unlearning

Data Unlearning via Inverse Distillation

Inverse Distillation Unlearning unifies multi-step model distillation and data removal via a min-max objective that recovers only retained data, reducing forgotten-class generation without retained examples or extra classifiers.

Aleksei Leonov, Nikita Kornilov, Zhenhe Zhang, Evgeny Burnaev and 2 more

Published Sep 28, 2026 · 0 citations · ▲ 16 on Hugging Face

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ACL 2025U Notre DameU PennsylvaniaGeorgia Institute of TechnologyDartmouth CollegeMachine unlearning

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Modality-aware neuron pruning removes target knowledge from multimodal LLMs by selectively pruning modality-specific neurons to enable precise unlearning.

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang and 2 more

Published 2025 · 4 citations

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72%Highly rated
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ICML 2024Machine unlearning

Towards Certified Unlearning for Deep Neural Networks

Simple techniques extend certified unlearning to deep networks via inverse Hessian approximations, preserving guarantees for nonconvergence and sequential requests.

Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li

Published Aug 1, 2024 · 0 citations

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NeurIPS 2026JilinHarbin Institute of TechnologyHarbin Institute of Technology, TsinghuaHarbin Institute of Technology,SMachine unlearning

Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models

Zhiqi Zhang, Xinhao Zhong, Yi Sun, Shuoyang Sun and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of ScieHong Kong University of Science Central SouthThe Hong Kong University of ScieHong Kong University of Science Machine unlearning

Machine Unlearning in Diffusion LLMs

Yili Wang, Yijie Xu, Lu Dai, Tairan Huang and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Bar-IlanMachine unlearning

TanGCE: Manifold-Aware Concept Erasure

Matan Avitan, Yoav Goldberg, Yanai Elazar

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026RMITRMITRoyal Melbourne Institute of TecMonashU MelbourneMachine unlearning

What Should Remain After Forgetting? Rethinking LLM Unlearning as Predictive Posterior Correction

Jingyue Cong, Andy Song, Alexis Horde-Vo, Kai Wei and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Meta PlatformsMeta Platforms, Inc.FacebookAmazonTechnion - Israel Institute of TMachine unlearning

Exact Unlearning via Quantized Sufficient Statistics

Ami Tavory, Shripad Gade, Tal Sarig, Noam Touitou and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026MBZUAIMohamed bin Zayed University of U Electronic Science and TechnolU Notre DameMohamed bin Zayed University of Machine unlearning

From Facts to Personas: Interpretable Role Unlearning in LLMs via Mixture-of-Experts

Ruihong Zeng, Puning Yang, Jinghui Zhang, Shen Gao and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Mohamed bin Zayed University of RIKENU OxfordHKBU / RIKENMohamed bin Zayed University of Machine unlearning

UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?

Puning Yang, Qizhou Wang, Junchi Yu, Bo Han and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Tianjin NormalHangzhou DianziMachine unlearning

CLUE: Closing the Loop on Conflict and Collapse in LLM Unlearning

Mengyang Li, Jingwen Wang, Yu Zhang, Pinlong Zhao

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Tianjin NormalMachine unlearning

KNOT: A Knowledge Entanglement Benchmark for Robust Unlearning Evaluation

Mengyang Li, Jingwen Wang, Yu Zhang, Shuang Liu and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Rensselaer Polytechnic InstituteRPIMachine unlearning

Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning

Xingjian Zhao, Mohammad Mohammadi Amiri, Malik Magdon-Ismail

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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69%Highly rated
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NeurIPS 2026Hangzhou DianziPekingNortheasternNational University of SingaporeMachine unlearning

METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning

Pinlong Zhao, Xiaoling Zhou, Zhou Zhaoting, Guangyuan Dong

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Korea Advanced Institute of ScieKAISTMachine unlearning

Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models

Younghwan Kil, Joonhyeong Park, Giung Nam, Jinwoo Shin and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Hangzhou DianziZhejiangMachine unlearning

Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios

Yufeng Cao, Naen Xu, Xuyang Teng, Tianyu Du and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Hong KongU Technology SydneyJilin University of Finance and SUN YAT-SEN UNIVERSITYMachine unlearning

Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories

Jiayu Zhang, Ziqi Zhong, Yuliang Gai, Canran Xiao

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U MacquaireMacquarieMachine unlearning

Hyperspherical Local Margin Retraction for Zero-Shot Instance-Wise Machine Unlearning

Hongyi Lyu, Xuyun Zhang, Xiaoxiao Chi, Guanfeng Liu and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Google DeepMindGoogle ResearchGoogleHPI f. Digit. Engin. GGMBHMachine unlearning

We Should Distinguish Unlearning From Untraining

Eleni Triantafillou, Imtiaz Humayun, Mónica Ribero, Alexander Turner and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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