Updated list of Machine Unlearning papers as of February 11, 2026.
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- Large Language Models | Federated Learning | Backdoor Learning | Machine Unlearning
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| No. | Title | Authors | Publish Date | Venue | Code |
|---|---|---|---|---|---|
| 1 | UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning | Piotr Iwo Wójcik, Maksym Petrenko, Wojciech Gromski, Przemysław Spurek, Maciej Zieba | 2026-02-03 | arXiv (Cornell University) |  |
| 2 | EvoMU: Evolutionary Machine Unlearning | Pawel Batorski, Paul Swoboda | 2026-02-02 | ArXiv.org |  |
| 3 | $\textbfAGT$^AO$$: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality | Pengyu Li, Lingling Zhang, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu | 2026-02-02 | ArXiv.org |  |
| 4 | Behemoth: Benchmarking Unlearning in LLMs Using Fully Synthetic Data | Eugenia Iofinova, Dan Alistarh | 2026-01-30 | ArXiv.org |  |
| 5 | ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models | Ignacy Kolton, Kacper Marzol, Paweł Batorski, M. Mazur, Paul Swoboda, Przemysław Spurek | 2026-01-30 | ArXiv.org |  |
| 6 | LLMs Can Unlearn Refusal with Only 1,000 Benign Samples | Yangyang Guo, Ziwei Xu, Si Liu, Zhiming Zheng, Mohan Kankanhalli | 2026-01-27 | ArXiv.org |  |
| 7 | FairGU: Fairness-aware Graph Unlearning in Social Networks | Renqiang Luo, Yongshuai YANG, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia | 2026-01-14 | arXiv (Cornell University) |  |
| 8 | ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models | Zhenhua Xu, Haobo Zhang, Zhebo Wang, Qichen Liu, Haitao Xu, Meng Han, Meng Han | 2026-01-13 | arXiv (Cornell University) |  |
| 9 | SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models | Renyang Liu, Kangjie Chen, Han Qiu, Jie Zhang, Kwok-Yan Lam, Tianwei Zhang, See-Kiong Ng | 2026-01-13 | arXiv (Cornell University) |  |
| 10 | SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation | Yiling Wang, Zeyu Zhang, Yiran Wang, H. W. Tang | 2026-01-02 | arXiv |  |
| 11 | Unlearning Personal Data from a Single Image | Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci | 2026-01-01 | HAL (Le Centre pour la Communication Scientifique Directe) |  |
| 12 | Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study | Carla Crivoi, Radu Tudor Ionescu | 2025-12-22 | arXiv (Cornell University) |  |
| 13 | Forget and Explain: Transparent Verification of GNN Unlearning | Ahsan, Imran, Yu, Hyunwook, Kim, Jinsung, Kim, Mucheol | 2025-12-08 | arXiv (Cornell University) |  |
| 14 | RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning | Zhao, Guoshenghui, Lin Hua-wei, Zhao Weijie | 2025-12-04 | arXiv (Cornell University) |  |
| 15 | Hierarchy-Aware Multimodal Unlearning for Medical AI | Fengli Wu, Vaidehi Patil, Jaehong Yoon, Yue Zhang, Mohit Bansal | 2025-12-01 | arXiv |  |
| 16 | SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities | Nguyen, Dung Thuy, Nguyen, Quang, Robinette, Preston K., Jiang, Eli, Johnson, Taylor T., Leach, Kevin | 2025-12-01 | arXiv (Cornell University) |  |
| 17 | Geometric-Disentangelment Unlearning | Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Chengxiang Zh... | 2025-11-21 | arXiv (Cornell University) |  |
| 18 | Rethinking Machine Unlearning in Image Generation Models | Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng | 2025-11-19 | ACM Conference on Computer and Communications Security (CCS 2025) |  |
| 19 | Graph Unlearning Meets Influence-aware Negative Preference Optimization | Qiang Chen, Zhongze Wu, Ang He, Xi Lin, Shuo Jiang, Shan You, Chang Xu, Yi Chen, Xiu Su | 2025-11-19 | Arabixiv (OSF Preprints) |  |
| 20 | AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models | Chen Haokun, Li, Jianing, Zhang Yao, Bi, Jinhe, Xia Yan, Gu, Jindong, Tresp, Volker | 2025-11-14 | arXiv (Cornell University) |  |
| 21 | Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models | LI Kunhao, Li, Wenhao, Wu Di, Yang Lei, Bai Jun, Jia Ju, Xue, Jason | 2025-11-01 | arXiv (Cornell University) |  |
| 22 | FedDPGu: Adaptive Prompt-tuning with Built-in Unlearning for Federated Learning | Lishan Yang, Wei Emma Zhang, Ali Shakeri, Amin Beheshti, Weitong Chen, Jian Yang | 2025-10-30 | OpenAlex |  |
| 23 | LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems | Feihong Yu, Yuyuan Li, Xiaohua Feng, Junpeng Fang, Tao Wang, Chaochao Chen | 2025-10-25 | OpenAlex |  |
| 24 | Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning | Bingqi Shang, Yiwei Chen, Yihua Zhang, Bingquan Shen, Sijia Liu | 2025-10-19 | arXiv |  |
| 25 | Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods | Jaeung Lee, Seunghee Yu, Yurim Jang, Simon S. Woo, Jaemin Jo | 2025-08-18 | IEEE Transactions on Visualization and Computer Graphics |  |
| 26 | Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning | Renyang Liu, Guanlin Li, Tianwei Zhang, See-Kiong Ng | 2025-07-01 | arXiv |  |
| 27 | Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster | Junaid Iqbal Khan | 2025-07-01 | arXiv |  |
| 28 | Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness | Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chi... | 2025-06-01 | arXiv |  |
| 29 | Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings | Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub | 2025-06-01 | MICCAI |  |
| 30 | Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs | Yiwei Chen, Soumyadeep Pal, Yimeng Zhang, Qing Qu, Sijia Liu | 2025-06-01 | arXiv |  |
| 31 | Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation | Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal | 2025-05-01 | Trans. Mach. Learn. Res. |  |
| 32 | Unlearning for Federated Online Learning to Rank: A Reproducibility Study | Yiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon | 2025-05-01 | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |  |
| 33 | Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs | Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Huadi Zheng, Peizhao Hu, Minxin Du, Haibo Hu | 2025-05-01 | arXiv |  |
| 34 | Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM | Xiaoyu Wu, Yifei Pang, Terrance Liu, Zhiwei Steven Wu | 2025-05-01 | arXiv |  |
| 35 | LoRA Unlearns More and Retains More (Student Abstract) | Atharv Mittal | 2025-04-11 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 36 | LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks | Soumyadeep Pal, Changsheng Wang, James Diffenderfer, Bhavya Kailkhura, Sijia Liu | 2025-04-01 | arXiv |  |
| 37 | Preserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition | Lei Kang, Xuanshuo Fu, Lluis Gomez, Alicia Fornés, Ernest Valveny, Dimosthenis Karatzas | 2025-04-01 | Pattern Recognition |  |
| 38 | Multi-Objective Large Language Model Unlearning | Zibin Pan, Shuwen Zhang, Yuesheng Zheng, Chi Li, Yuheng Cheng, Junhua Zhao | 2025-03-12 | ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |  |
| 39 | Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU | Àlex Pujol Vidal, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund | 2025-03-01 | CVPR Workshops |  |
| 40 | MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models | Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu | 2025-02-16 | Findings of the Association for Computational Linguistics: ACL 2022 |  |
| 41 | Knowledge Swapping via Learning and Unlearning | Mingyu Xing, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong, Meng Wang | 2025-02-11 | arXiv |  |
| 42 | Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond | Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu | 2025-02-07 | arXiv |  |
| 43 | Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models | Association for Computational Linguistics 2025, Chen Haokun, Himayat, Nageen, Szyller, Sebastian, Xu Weilin | 2025-02-01 | Underline Science Inc. |  |
| 44 | Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning | Linian Wang, Leye Wang | 2025-02-01 | arXiv |  |
| 45 | OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models | Hao Zheng, Zirui Pang, Ling li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei | 2025-01-01 | arXiv |  |
| 46 | Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation | Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz | 2025-01-01 | arXiv |  |
| 47 | On Large Language Model Continual Unlearning | Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu | 2025-01-01 | ICLR |  |
| 48 | Parallel Unlearning in Inherited Model Networks | Xiao Liu, Mingyuan Li, Guangsheng Yu, Lixiang Li, Haipeng Peng, Ren Ping Liu | 2025-01-01 | IEEE Trans. Inf. Forensics Secur. |  |
| 49 | Pre-training for Recommendation Unlearning | Guoxuan Chen, Lianghao Xia, Chao Huang | 2025-01-01 | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |  |
| 50 | Provably Unlearnable Data Examples | Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu, Derui Wang | 2025-01-01 | OpenAlex |  |
| 51 | ReLearn: Unlearning via Learning for Large Language Models | Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu ... | 2025-01-01 | OpenAlex |  |
| 52 | Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection | Chengcan Wu, Zeming Wei, Huanran Chen, Yinpeng Dong, Meng Sun | 2025-01-01 | arXiv |  |
| 53 | SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders | Bartosz Cywiński, Kamil Rafał Deja | 2025-01-01 | arXiv |  |
| 54 | Vertical Federated Unlearning via Backdoor Certification | Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou | 2025-01-01 | IEEE Transactions on Services Computing |  |
| 55 | Targeted Unlearning with Single Layer Unlearning Gradient | Zikui Cai, Yaoteng Tan, M. Salman Asif | 2025-01-01 | ICML |  |
| 56 | The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models | Yang Xiao, Gen Li, Jie Ji, Ruimeng Ye, Xiaolong Ma, Bo Hui | 2025-01-01 | arXiv |  |
| 57 | Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning | Boheng Li, Renjie Gu, Junjie Wang, Leyi Qi, Yiming Li, Run Wang, Zhan Qin, Tianwei Zhang | 2025-01-01 | arXiv |  |
| 58 | Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs | Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee | 2025-01-01 | ICLR |  |
| 59 | UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning | Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal | 2025-01-01 | arXiv |  |
| 60 | LLM Unlearning Without an Expert Curated Dataset | Xiaoyuan Zhu, Muru Zhang, Ollie Liu, Robin Jia, Willie Neiswanger | 2025-01-01 | arXiv |  |
| 61 | WaterDrum: Watermarking for Data-centric Unlearning Metric | Xinyang Lu, Xinyuan Niu, Gregory Kang Ruey Lau, Bui Thi Cam Nhung, Rachael Hwee Ling Sim, Fanyu Wen, Chuan-Sheng Foo, Se... | 2025-01-01 | arXiv |  |
| 62 | ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging | Haoming Xu, Shuxun Wang, Yanqiu Zhao, Yi Zhong, Ziyan Jiang, Ningyuan Zhao, Shumin Deng, Huajun Chen, Ningyu Zhang | 2025-01-01 | arXiv | |
| 63 | LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty | Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves, Petros Daras | 2025-01-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 64 | A Survey on Unlearnable Data | Jiahao Li, Yiqiang Chen, Yunbing Xing, Yang Gu, Xiangyuan Lan | 2025-01-01 | arXiv |  |
| 65 | KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning | Yinyi Luo, Zhexian Zhou, Hao Chen, Kai Qiu, Marios Savvides, Sharon Li, Jindong Wang | 2025-01-01 | arXiv |  |
| 66 | DUP: Detection-guided Unlearning for Backdoor Purification in Language Models | Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen, Yanhao Jia, Shuai Zhao | 2025-01-01 | arXiv |  |
| 67 | Align-then-Unlearn: Embedding Alignment for LLM Unlearning | Philipp Spohn, Leander Girrbach, Jessica Bader, Zeynep Akata | 2025-01-01 | arXiv |  |
| 68 | An Information Theoretic Approach to Machine Unlearning | Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue, Cengiz Öztireli, Alexandra Brintrup | 2025-01-01 | Trans. Mach. Learn. Res. |  |
| 69 | BLUR: A Bi-Level Optimization Approach for LLM Unlearning | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu,... | 2025-01-01 | arXiv |  |
| 70 | Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models | Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma | 2025-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 71 | Catastrophic Failure of LLM Unlearning via Quantization | Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang | 2025-01-01 | ICLR |  |
| 72 | Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning | Yejin Kim, Eunwon Kim, Buru Chang, Junsuk Choe | 2025-01-01 | COLM 2025 |  |
| 73 | Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning | Haichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang | 2025-01-01 | arXiv |  |
| 74 | Certified Unlearning for Neural Networks | Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo | 2025-01-01 | arXiv |  |
| 75 | Effective Skill Unlearning through Intervention and Abstention | Yongce Li, Chung-En Sun, Tsui-Wei Weng | 2025-01-01 | OpenAlex |  |
| 76 | Efficient Knowledge Graph Unlearning with Zeroth-order Information | Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui | 2025-01-01 | arXiv |  |
| 77 | Efficient Machine Unlearning via Influence Approximation | Jiawei Liu, Chenwang Wu, Defu Lian, Enhong Chen | 2025-01-01 | arXiv |  |
| 78 | Efficient Unlearning with Privacy Guarantees | Josep Domingo-Ferrer, Najeeb Jebreel, David Sánchez | 2025-01-01 | arXiv |  |
| 79 | Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery | Shiji Zhou, Tianbai Yu, Zhi Zhang, Heng Chang, Xiao Zhou, Dong Wu, Han Zhao | 2025-01-01 | arXiv |  |
| 80 | Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning | Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han | 2025-01-01 | arXiv |  |
| 81 | Fine-Grained and Efficient Self-Unlearning with Layered Iteration | Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi | 2025-01-01 | OpenAlex |  |
| 82 | Group-robust Machine Unlearning | Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, Massimiliano Mancini | 2025-01-01 | arXiv |  |
| 83 | A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction | Xiaohua Feng, Jiaming Zhang, Fengyuan Yu, Chengye Wang, Li Zhang, Kaixiang Li, Yuyuan Li, Chaochao Chen, Jianwei Yin | 2025-01-01 | arXiv |  |
| 84 | Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification | Changchang Sun, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Sijia Liu, Yan Yan | 2024-12-21 | arXiv |  |
| 85 | A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks | Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru | 2024-12-01 | ICML |  |
| 86 | Delta-Influence: Unlearning Poisons via Influence Functions | Wenjie Li, Jiawei Li, Pengcheng Zeng, Christian Schroeder de Witt, Ameya Prabhu, Amartya Sanyal | 2024-11-20 | arXiv |  |
| 87 | Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods | Jai Doshi, Asa Cooper Stickland | 2024-11-18 | arXiv |  |
| 88 | Learning from Convolution-based Unlearnable Datasets | Dohyun Kim, Pedro Sandoval-Segura | 2024-11-01 | arXiv |  |
| 89 | Identify Backdoored Model in Federated Learning via Individual Unlearning | Jiahao Xu, Zikai Zhang, Rui Hu | 2024-11-01 | 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |  |
| 90 | Evaluating Deep Unlearning in Large Language Models | Ruihan Wu, Chhavi Yadav, Russ R. Salakhutdinov, Kamalika Chaudhuri | 2024-10-19 | arXiv |  |
| 91 | Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts | Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin | 2024-10-16 | arXiv |  |
| 92 | Dissecting Fine-Tuning Unlearning in Large Language Models | Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang | 2024-10-09 | Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing |  |
| 93 | A Probabilistic Perspective on Unlearning and Alignment for Large Language Models | Yan Scholten, Stephan Günnemann, Leo Schwinn | 2024-10-04 | arXiv |  |
| 94 | NegMerge: Sign-Consensual Weight Merging for Machine Unlearning | Hyo Seo Kim, Dongyoon Han, Junsuk Choe | 2024-10-01 | ICML |  |
| 95 | Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning | Chongyu Fan, Liu Jian-cheng, Licong Lin, Jinghan Jia, Ruiqi Zhang, Mei Song, Sijia Liu | 2024-10-01 | arXiv |  |
| 96 | Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models | Anmol Reddy Mekala, Vineeth Dorna, Shreya Dubey, Abhishek Lalwani, David Koleczek, Mukund Rungta, Sadid A. Hasan, Elita ... | 2024-09-20 |  |
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| 97 | Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models | Tianqi Chen, Shujian Zhang, Mingyuan Zhou | 2024-09-17 | arXiv |  |
| 98 | CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence | Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan | 2024-08-26 | NeurIPS |  |
| 99 | Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier | Lu Yi, Zhewei Wei | 2024-08-01 | ICLR |  |
| 100 | Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning | Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao | 2024-07-23 | ACM Multimedia |  |
| 101 | Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks | Zhexin Zhang, Junxiao Yang, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang | 2024-07-03 | arXiv |  |
| 102 | Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging | Zhipeng Deng, Luyang Luo, Hao Chen | 2024-07-02 | Lecture notes in computer science |  |
| 103 | From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks | Zhexin Zhang, Junxiao Yang, Yida Lu, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang | 2024-07-01 | arXiv | |
| 104 | To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models | Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng, Qingbin Liu, Mengru Wang, Dianbo Sui, Xi Chen, Huajun Chen, Ningyu Zhang | 2024-07-01 | OpenAlex |  |
| 105 | Data Attribution for Text-to-Image Models by Unlearning Synthesized Images | Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang | 2024-06-13 | NeurIPS |  |
| 106 | Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference | Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang | 2024-06-12 | NeurIPS |  |
| 107 | Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces | Yihuai Hong, Lei Yu, Haiqin Yang, Shauli Ravfogel, Mor Geva | 2024-06-01 | arXiv |  |
| 108 | MUC: Machine Unlearning for Contrastive Learning with Black-box Evaluation | Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao | 2024-06-01 | Trans. Mach. Learn. Res. |  |
| 109 | Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models | Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu | 2024-05-24 | NeurIPS |  |
| 110 | Unlearning during Learning: An Efficient Federated Machine Unlearning Method | Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang | 2024-05-24 | OpenAlex |  |
| 111 | Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning | Masane Fuchi, Tomohiro Takagi | 2024-05-12 | BMVC |  |
| 112 | Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders | Yi Yu, Yu-Fei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap‐Peng Tan, Alex C. Kot | 2024-05-02 | ICML |  |
| 113 | Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience | Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Ab... | 2024-05-01 | Lecture notes in computer science |  |
| 114 | Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity | Hanlin Gu, Win Kent Ong, Chee Seng Chan, Lixin Fan | 2024-05-01 | NeurIPS |  |
| 115 | Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints | Yash Sinha, Murari Mandal, Mohan S. Kankanhalli | 2024-05-01 |  |
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| 116 | SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning | Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu | 2024-04-28 | Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing |  |
| 117 | Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge | Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen | 2024-04-08 | OpenReview |  |
| 118 | Machine Unlearning for Document Classification | Lei Kang, Mohamed Ali Souibgui, Fei Yang, Lluis Gomez, Ernest Valveny, Dimosthenis Karatzas | 2024-04-01 | Lecture notes in computer science |  |
| 119 | Towards Efficient and Effective Unlearning of Large Language Models for Recommendation | Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu | 2024-03-06 | Frontiers of Computer Science |  |
| 120 | Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning | Chongyu Fan, Jiancheng Liu, Alfred Olivier Hero, Sijia Liu | 2024-03-01 | Lecture notes in computer science |  |
| 121 | Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness | Cheng-Long Wang, Qi Li, Zihang Xiang, Yinzhi Cao, Di Wang | 2024-03-01 | USENIX Security Symposium |  |
| 122 | UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models | Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu | 2024-02-19 | arXiv |  |
| 123 | Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need | Xianlong Wang, Minghui Li, Weiping Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin | 2024-01-01 | NeurIPS |  |
| 124 | Soft Prompting for Unlearning in Large Language Models | Karuna Bhaila, Minh-Hao Van, Xintao Wu | 2024-01-01 | OpenAlex |  |
| 125 | Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective | Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang | 2024-01-01 | Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing |  |
| 126 | Machine Unlearning via Representation Forgetting With Parameter Self-Sharing | Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu | 2024-01-01 | IEEE Transactions on Information Forensics and Security |  |
| 127 | Machine Unlearning via Null Space Calibration | Huiqiang Chen, Tianqing Zhu, Xinjie Yu, Wanlei Zhou | 2024-01-01 | OpenAlex |  |
| 128 | Machine Unlearning of Pre-trained Large Language Models | Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue | 2024-01-01 | OpenReview |  |
| 129 | Machine Unlearning in Generative AI: A Survey | Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang | 2024-01-01 | arXiv |  |
| 130 | Machine Unlearning for Image-to-Image Generative Models | Guihong Li, Hsiang Hsu, Chun-Fu, Chen, Diana Marculescu | 2024-01-01 | ICLR |  |
| 131 | Large Language Model Unlearning via Embedding-Corrupted Prompts | Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu | 2024-01-01 | NeurIPS |  |
| 132 | LMEraser: Large Model Unlearning through Adaptive Prompt Tuning | Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia | 2024-01-01 | AISTATS |  |
| 133 | Generative Unlearning for Any Identity | Juwon Seo, Sung-Hoon Lee, Tae-Young Lee, Seungjun Moon, Gyeong-Moon Park | 2024-01-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 134 | Game-Theoretic Unlearnable Example Generator | Shuang Liu, Yihan Wang, Xiao-Shan Gao | 2024-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 135 | From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space | Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin | 2024-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 136 | Efficient Federated Unlearning under Plausible Deniability | Ayush K. Varshney, Vicenç Torra | 2024-01-01 | Machine Learning |  |
| 137 | Dissecting Language Models: Machine Unlearning via Selective Pruning | Nicholas Pochinkov, Nandi Schoots | 2024-01-01 | arXiv |  |
| 138 | Dataset Condensation Driven Machine Unlearning | Junaid Iqbal Khan | 2024-01-01 | arXiv |  |
| 139 | Corrective Machine Unlearning | Shashwat Goel, Ameya Prabhu, Philip H. S. Torr, Ponnurangam Kumaraguru, Amartya Sanyal | 2024-01-01 | Trans. Mach. Learn. Res. |  |
| 140 | Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning | Zheyuan Liu, Guangyao Dou, Wang-Chien Chen, Chunhui Zhang, Yijun Tian, Ziwei Zhu | 2024-01-01 | Proceedings of the ACM Web Conference 2022 |  |
| 141 | Boosting Alignment for Post-Unlearning Text-to-Image Generative Models | Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia | 2024-01-01 | NeurIPS |  |
| 142 | A Closer Look at Machine Unlearning for Large Language Models | Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin | 2024-01-01 | arXiv |  |
| 143 | FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity | Zhen Wang, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Zeng Cheng, Yang Yang | 2023-12-21 | ISPA/BDCloud/SocialCom/SustainCom |  |
| 144 | Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting | Sangamesh Kodge, Gobinda Saha, Kaushik Roy | 2023-12-01 | Trans. Mach. Learn. Res. |  |
| 145 | Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection | Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh | 2023-12-01 | 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |  |
| 146 | Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise | Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun | 2023-11-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 147 | Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems | Dasol Choi, Dongbin Na | 2023-11-01 | arXiv |  |
| 148 | SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation | Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu | 2023-10-01 | arXiv |  |
| 149 | To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now | Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu | 2023-10-01 | Lecture notes in computer science |  |
| 150 | Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation | Yash Sinha, Murari Mandal, Mohan S. Kankanhalli | 2023-09-01 | IEEE Trans. Neural Networks Learn. Syst. |  |
| 151 | Fair Machine Unlearning: Data Removal while Mitigating Disparities | Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju | 2023-07-01 | AISTATS |  |
| 152 | Fast Yet Effective Machine Unlearning | Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli | 2023-05-01 | IEEE Transactions on Neural Networks and Learning Systems |  |
| 153 | Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples | Wan Jiang, Yunfeng Diao, He Wang, Jianxin Sun, Meng Wang, Richang Hong | 2023-05-01 | ACM Multimedia |  |
| 154 | Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks | Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu | 2023-03-01 | arXiv |  |
| 155 | A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions | Jiaxi Yang, Yang Zhao | 2023-01-01 | arXiv |  |
| 156 | Task-Aware Machine Unlearning and Its Application in Load Forecasting | Wangkun Xu, Fei Teng | 2023-01-01 | IEEE Transactions on Power Systems |  |
| 157 | Zero-Shot Machine Unlearning | Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli | 2023-01-01 | IEEE Transactions on Information Forensics and Security |  |
| 158 | Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks | Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P. | 2023-01-01 | Trans. Mach. Learn. Res. |  |
| 159 | Unlearning Bias in Language Models by Partitioning Gradients | Charles Yu, Sullam Jeoung, Anish Kasi, Pengfei Yu, Heng Ji | 2023-01-01 | Findings of the Association for Computational Linguistics: ACL 2022 |  |
| 160 | Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples | Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu | 2023-01-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 161 | What Can We Learn from Unlearnable Datasets? | Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein | 2023-01-01 | NeurIPS |  |
| 162 | Recommendation Unlearning via Influence Function | Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He | 2023-01-01 | ACM Transactions on Recommender Systems |  |
| 163 | Model Sparsification Can Simplify Machine Unlearning | Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu | 2023-01-01 | NeurIPS |  |
| 164 | Inductive Graph Unlearning | Cheng-Long Wang, Mengdi Huai, Di Wang | 2023-01-01 | USENIX Security Symposium |  |
| 165 | GIF: A General Graph Unlearning Strategy via Influence Function | Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He | 2023-01-01 | Proceedings of the ACM Web Conference 2022 |  |
| 166 | ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer | Shen Lin, Xiaoyu Zhang, Chenyang Chen, Xiaofeng Chen, Willy Susilo | 2023-01-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 167 | Deep Unlearning via Randomized Conditionally Independent Hessians | Ronak Mehta, Sourav Pal, Vikas Pratap Singh, Sathya N. Ravi | 2022-06-01 |  |
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| 168 | Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher | Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli | 2022-05-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 169 | A Survey of Machine Unlearning | Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen | 2022-01-01 | ACM Transactions on Intelligent Systems and Technology |  |
| 170 | Continual Learning and Private Unlearning | Bo Liu, Qiang Liu, Peter Stone | 2022-01-01 | CoLLAs |  |
| 171 | Deep Regression Unlearning | Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli | 2022-01-01 | arXiv |  |
| 172 | FedHarmony: Unlearning Scanner Bias with Distributed Data | Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete | 2022-01-01 | Lecture notes in computer science |  |
| 173 | Recommendation Unlearning | Chong Chen, Fei Sun, Min Zhang, Bolin Ding | 2022-01-01 | Proceedings of the ACM Web Conference 2022 |  |
| 174 | Towards Probabilistic Verification of Machine Unlearning | David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal | 2020-01-01 | arXiv |  |
| 175 | When Machine Unlearning Jeopardizes Privacy | Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang | 2020-01-01 | Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security |  |