Towards Making Systems Forget with Machine Unlearning
Cited by (628)
Items 501–600 of 628
- A Survey of Privacy Preservation Techniques for Large Language ModelsYijian Zhang, Xiaofeng Chen, Wenyun Cai, Huijun Zhang · 2025 · IEEE International Conference on Cyber Security and Cloud Computing / IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom)
- FedRazor: Two-Stage Federated Unlearning via Representation Divergence and Gradient Conflict TrimmingYanxin Hu, Xi Liu, Yan Huang, Junjie Pang, Chao Cheng, Gang Liu · 2026 · Information
- Feature Machine Unlearning in Diffusion ModelsLinlin Wang, Tianqing Zhu, Laiqiao Qin, Lihua Yin, Wanlei Zhou · 2026 · Lecture notes in computer science
- GAD-SISA: A Scalable Defense Against Label Flipping AttackAnil Babu Bathula, Subba Rao Peram · 2025 · International Conference on Computational Intelligence and Communication Networks (CICN)
- CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image CaptioningHakjun Moon, Simon S. Woo · 2026 · ACM International Conference on Web Search and Data Mining (WSDM)
- Right-to-be-Forgotten by Design in Adapter-Tuned TransformersDJ Ranade, Rajesh R Jaiswal · 2026 · Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
- Machine Unlearning for ensuring Compliance and Governance in Vision AIVishal Balasubramanian, Amna Shifa, Mamoona Naveed Asghar · 2025 · Cyber Research Conference - Ireland (Cyber-RCI)
- Fine-Tuning Large Language Models for Vocabulary-Constrained Language LearningJens Wienkamp, Malte Schilling · 2025 · International Conference on Foundation and Large Language Models (FLLM)
- CAUA: A Realistic and Effective Attack on Machine Unlearning Under Limited InformationJing Zhang, Yan Zhang, Jie Cui, Xuan Xie, Chunyang Fan, Bei Li · 2025 · Annual Computer Security Applications Conference
- SUGPT: Efficient Graph Unsummarization for the Right to Be ForgottenZ. J. Li, Qingqing Ye, Haibo Hu, Xin Sunny Huang, Junxu Liu, Xiaofeng Meng · 2026 · IEEE Transactions on Knowledge and Data Engineering
- ReCUR: Bipartite Graph Contrastive Unlearning with Influence Estimation for Privacy-Preserved RecommendationTzu-Hsuan Yang, Cheng–Te Li · 2026 · Machine Learning
- Machine Unlearning for Reinforcement Learning Agents: Methods and ChallengesM. Ayyadurai, Nandha Kumar P · 2026 · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
- Auditing Approximate Machine Unlearning for Differentially Private ModelsYuechun Gu, Jiajie He, K. Chen · 2025 · Proceedings
- Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation UnlearningHaichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang · 2025 · Proceedings
- Learn while Unlearn: An Iterative Unlearning Framework for Generative Language ModelsHaoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen · 2025 · Proceedings
- Adversarial Retain-Free Unlearning for Bearing Prognostics and Health ManagementChaewon Yoon, Jiyoung Lee, Hoki Kim · 2026 · IEEE Transactions on Industrial Informatics
- CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition SystemsFnu Shivam, Nima Najafzadeh, Y. V. Ramana Reddy, Prashnna Gyawali · 2025 · IEEE International Joint Conference on Biometrics (IJCB)
- Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice BiometricsShreyansh Pathak, Sonu Shreshtha, Richa Singh, Mayank Vatsa A · 2025 · IEEE International Joint Conference on Biometrics (IJCB)
- FedzMuGAN: Zero-Shot Class-Level Machine Unlearning in Federated Settings Using Generative Adversarial NetworksMohamed Maher, Mahmoud Saeed Mesmeh, Menna-allah Osman, Yara Mahfouz, Abdullah Ibrahim, Kevin Leyton‐Brown · 2026 · SSRN Electronic Journal
- Machine Unlearning for GDPR Right-to-Erasure in Antimicrobial Resistance Prediction ModelsSaniya, Abdullah Ahmad Khan · 2026 · medRxiv
- CEFU-QoS: A Cloud-Edge Federated Unlearning Framework for Rapid QoS Prediction via Collaborative MechanismsHongyu Lin, Linhan Fang, Guanchen Du, Yuxuan Guo · 2025 · International Conference on Information Technology: IoT and Smart City (ICIT)
- Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation ModelsYijun Quan, Wentai Wu, Giovanni Montana · 2026 · Lecture notes in computer science
- A survey on bias and fairness in machine unlearningMohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen · 2026 · Journal of Information and Intelligence
- ResNet34-Based Galaxy Morphology Classification with Machine UnlearningNayna Potdukhe, Priyani Sabde, Pooja Aaglave, Meet Upadhye, Smit Barmate, Siddhesh Ratnaparkhi · 2026 · Research Square
- Reliability and robustness of federated learning in practical applicationsYann Fraboni · 2023 · theses.fr (ABES)
- From Objects to Influences: Rethinking Deletion in Learning-Based SystemsJeongwoo Ryu, Hyungwoo Song, Junghwan Kim, Kieun Park, Bongwon Suh · 2026 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
- MOEA-SISA: Multiobjective Optimization to Improve Model Performance During Forgetting DataBin Cao, Zhaokun Wang, Dingjun Chang, Xin Liu, Yun Li · 2026 · Chinese Journal of Electronics
- EUCC: Effective Class-level Machine Unlearning from The Class-centric Perspective without Remainder DataCheng Yang, 龚庆辉, Xue Song Yang, Bin Chen, Xiaohu Tang · 2026 · SSRN Electronic Journal
- Breaking the Forgetting-Memorization Trade-Off: A Memory-Adaptive Optimizer for Effective Large Language Models UnlearningRuyun Wang, Fuqing Zhu, Xiaodan Zhang · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
- Flash-Unlearn: On-the-Fly, Training-Free Large Language Models Unlearning Through Subspace Distribution FilteringRuyun Wang, Fuqing Zhu, Xiaodan Zhang · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
- Why Delete? Just Make it Natural. Maximum Entropy Distribution Distillation for Large Language Models UnlearningRuyun Wang, Fuqing Zhu, Xiaodan Zhang · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
- FedSKU: Defending Backdoors in Federated Learning Through Selective Knowledge UnlearningGuofu Xie, Yu Zhou, Bingyan Liu · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
- Can Unlearning of Models Lead to Adversarial Robustness?Mridul Sharma, Parimala Kancharla · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
- Federated Illusion: Multi-Level Geometric Privacy Audit for Federated Graph UnlearningHaoke Han, Yan Huang, Zhenzhen Xie, Junjie Pang · 2026 · Information
- FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental UnlearningQian Feng, Jiahang Tu, Mintong Kang, Hanbin Zhao, Chao Zhang, Hui Qian · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
- ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned ModelsHyun Jun Yook, Ga San Jhun, Jae Hyun Cho, Min Jeon, Donghyun Kim, Tae Hyung Kim, Youn Kyu Lee · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
- The Ethics of Memorization and Machine UnlearningOtto Sahlgren, Arto Laitinen · 2026 · Springer eBooks
- When Forgetting Reveals: Black-Box Inversion Attacks on Unlearning in Large Language ModelsZijun Zhang, Bang Wu, Xingliang Yuan · 2026 · Lecture notes in computer science
- HQSU: Hybrid Quantum Selective Unlearning for Backdoor Mitigation in Federated LearningAsitha Kottahachchi Kankanamge Don, Ibrahim Khalil, Shehan Edirimannage, Wathsara Daluwatta, Charitha Elvitigala, Jer Shyuan Ng · 2026 · International Conference on Quantum Communications, Networking, and Computing (QCNC)
- Verifiability of Unlearning Schemes Through Local ExplanationSaba Kasrelou, Samuel Pierre, Ranwa Al Mallah · 2026 · Lecture notes in computer science
- Machine UnlearningXiaofeng Meng · 2026 · Big data management
- IEBench: Benchmarking Unlearning Identity-Event Entangled Concepts for MLLM-Based Systems in Agentic Edge NetworksZhaopan Xu, Pengfei Zhou, Weidong Tang, Jiaxin Ai, Wangbo Zhao, K W Wang, Wenqi Shao, Xiaojiang Peng, Sicheng Zhao, Hongxun Yao et al. · 2026 · IEEE Transactions on Network Science and Engineering
- Fast and Accurate Class-Level Machine Unlearning using Impair–Repair and Noise-Induced Forgetting MechanismsMuhammad Rizwan, Aamir Wali, Muhammad Saif ul Islam, Sana Fatima · 2026 · Cognitive Computation
- An Introduction to Machine UnlearningSijia Liu, Yang Liu, Nathalie Baracaldo · 2026 · Synthesis lectures on computer vision
- Unlearning in Federated Learning SettingsAnisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo · 2026 · Synthesis lectures on computer vision
- Forget Data-Only Optimization for UnlearningYaxuan Wang · 2026 · Synthesis lectures on computer vision
- Faults and Pitfalls in Implementing the Right to be ForgottenChen Sun, Nikolas Guggenberger, Supreeth Shastri · 2026 · Communications of the ACM
- Parameter-Agnostic Privacy-Preserving Machine Unlearning for Large Language ModelsLefeng Zhang, Tianqing Zhu, Zihan Xie, Shang Wang, Binxing Fang, Wanlei Zhou · 2026 · IEEE Transactions on Information Forensics and Security
- MU-MIA: Machine Unlearning for Membership Inference AttacksHongming Yang, Guopu Zhu, Long Sun, Wei Jiang, Xinpeng Zhang, Tao Xiang · 2026 · IEEE Transactions on Information Forensics and Security
- PadLock: Certificação do Desaprendizado de Máquinas para IaaS via Blockchain Layer 2Milena Curtinhas Santos, João Paulo de Brito Gonçalves, Arthur A. Vianna, Antônio A. de A. Rocha, Rodolfo da Silva Villaça · 2026
- Revisiting the machine unlearning ecosystem in vision: From afterthought to a lifecycle perspectiveEmanuela Marasco, Matthew Hicks, Bart Slowik, Thirimachos Bourlai, Arun Ross · 2026 · Image and Vision Computing
- SQU: Sensitivity-Guided Quantum Machine Unlearning for Privacy-Preserving MLMd Akmol Masud, Zannat Hossain Tamim, MD Musa Kalimullah Ratul, Md Biplob Hosen · 2026 · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
- Forgetting as Intelligence in Neurosymbolic AI: A Temporal Symbol Decay, Half-Life, and Renewal FrameworkMuhammad Ahmad SHAHZAD · 2026 · Research Square
- FedGA-RVI: Efficient Federated Unlearning via Adaptive Recovery Optimization and Smart StoppingSijie Xing, Jianping Cai, Weiwei Li, Nan Zhang, Jiayi Wang · 2026 · International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
- TabHGIF: A Unified Hypergraph Influence Framework for Efficient Unlearning in Tabular DataRongxing Zhu, Yan Huang, Zhenzhen Xie, Junjie Pang, Zhipeng Cai · 2026 · IEEE Transactions on Information Forensics and Security
- Towards Selective Machine Unlearning via Specific Synaptic Dampening over Data DescriptionZhihao Pan, Yuan Ping, Xiaojun Wang, Quanxin Yang, Chun Guo, Yuping Lai · 2026 · Annals of Data Science
- A System-Level Framework for Evaluating Privacy in Hybrid LLM DeploymentsShuwen Liang, Zhi Qiao, Tianyu Bai, Ying He, Donger Chen, Song Fu · 2026 · Algorithms
- How Much Can We Forget? On Boosting Removal Capacity in Machine UnlearningXiangni Lu, Li Li, Dong Zhang, Kaize Shi, Xiaohui Tao · 2026 · Lecture notes in computer science
- When Models Must Forget: Evaluating Machine Unlearning Algorithms for Data Privacy and SecurityDaniel Carlos S. de Jesus, Antônio A. de A. Rocha · 2026 · International Wireless Communications and Mobile Computing Conference (IWCMC)
- Fisher-Preconditioned Influence for Efficient Machine UnlearningZihang Xie, Hassine Moungla, Hossam Afifi · 2026 · International Wireless Communications and Mobile Computing Conference (IWCMC)
- Explainable Machine Unlearning for Secure and Trustworthy Wireless Internet-of-Things NetworkAmani Aldahiri, Ibrahim Khalil, Mohammad Saidur Rahman, Jer Shyuan Ng · 2026 · International Wireless Communications and Mobile Computing Conference (IWCMC)
- Federated Unlearning via Sparsity-Aware Gradient AscentLinfen Zhang, Jiayi Zheng, Siguang Chen · 2026 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
- Redundancy-Aware Federated Unlearning with Reverse and Selective DistillationJintao Zheng, Ke Li, Changjun Zhou, Donglin Zhu, Chenglin Pan, Xiangzhen Du · 2026 · International Conference on Machine Intelligence Theory and Applications (MiTA)
- Self-(re)organizing and Especially Forgetful Personal Knowledge Assistants to Support Information Management and Knowledge WorkChristian Jilek, Heiko Maus, Tobias Tempel, Christian Frings, Claudia Niederée, Andreas R. Dengel · 2026 · Progress in IS
- ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender SystemsPierre Lubitzsch, Maarten de Rijke, Sebastian Schelter · 2026 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- Plug‐and‐Play Retain Selection for Large Language Model Unlearning: An Entanglement‐Driven FrameworkYunxuan Xiong, Haitao Zhang · 2026 · Expert Systems
- Alleviating Budgetary Challenges in Machine Unlearning Services Through InsuranceMingjian Tang, Weiqi Wang, Shui Yu · 2026 · International Conference on Communications
- Can artificial intelligence forget? Reflections on the right to disappear in a world where algorithms remember everythingBeatriz Fernández Delgado, Víctor Cazurro Barahona · 2026 · International Journal of Engineering Business Management
- Separate the Wheat from the Chaff: A Machine Unlearning Method based on Gradient Decoupling and PurificationJiaxun Yang, Feng Wu, Xiangyang Si, Liwen Wu, Shaowen Yao, Lei Cui, Youyang Qu · 2026 · International Conference on Communications
- Forgetting Similar Samples: Can Machine Unlearning Do it Better?Heng Xu, Tianqing Zhu, Dayong Ye, Lefeng Zhang, Le Wang, Wanlei Zhou · 2026 · IEEE Transactions on Dependable and Secure Computing
- EXACT: Expert Attribution via Causal Tracing for Targeted Knowledge Unlearning in Mixture-of-Experts Language ModelsQicheng Wang, Quanhe Wang, Lu Wang · 2026 · Lecture notes in computer science
- Scrutinising Parametric Distance Verification in Unlearning: A Coupling PerspectiveJingming Dai, Lulu Xue, Jintian Ji, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang · 2026 · Lecture notes in computer science
- Machine unlearning through model forgetting techniques: application area and emerging methodsBüşra Büyüktanır, Elif Nur Kucur, Zeynep Kuyumcu, Nese Ozdemir, Şahsene Altınkaya, Gozde Karatas Baydoğmus, Kazım Yıldız · 2026 · Cluster Computing
- A Human-Centric MLOps Blueprint for Visual Quality Control as a Service in an Open Access PlatformKrzysztof Wołk, Jacek Niklewski, Marek Sylwester Tatara, Piotr Kopa Ostrowski, Michał Kopczyński · 2026 · Electronics
- DRFU: Federated Unlearning with Reverse KL-Divergence-based Knowledge DistillationThanh Nam Nguyen, Hai Anh Tran, Huy Hiệu Nguyễn, Nam-Thang Hoang, Yixin Zhang, Mahima Konda, Truong X. Tran · 2026 · IEEE Cloud Summit
- Efficient Concept Unlearning in Latent Diffusion Models via Feature CachingMridul Sharma, Ajinkya Hase, Parimala Kancharla · 2026 · Lecture notes in computer science
- Evaluating Machine Unlearning in Fingerphoto Presentation Attack DetectionAnudeep Vurity, Zhisheng Yan, Massimiliano Albanese · 2026 · Lecture notes in computer science
- Layer-Wise Diagnostic Probing to Enhance Selectivity in Machine UnlearningAnudeep Vurity, Zhisheng Yan, Massimiliano Albanese · 2026 · Lecture notes in computer science
- Private Deep LearningNicolas Papernot · 2025 · Emerald Group Publishing Limited eBooks
- Exact Machine UnlearningWeiqi Wang, Shui Yu · 2026 · Digital Privacy and Security
- Network Digital Untwinning: Towards Backward Optimization of Digital TwinsZifan Zhang, Dianwei Chen, Anjun Gao, Manhua Wang, Mingzhe Chen, Minghong Fang, Xianfeng Yang, Yuchen Liu · 2026 · IEEE International Conference on Distributed Computing Systems (ICDCS)
- Trustworthy Machine Learning: The Clash Among the Right to Be Forgotten, Inspectable Models, and UtilityJosep Domingo‐Ferrer, David Sánchez, Hsiao-Ying Lin · 2026 · Computer
- Introduction of Machine UnlearningWeiqi Wang, Shui Yu · 2026 · Digital Privacy and Security
- Approximate Machine Unlearning through Manifold Representation Forgetting Guided by Self Mode ConnectivityWeiqi Wang, Zhiyi Tian, Chenhan Zhang, Luoyu Chen, Shui Yu · 2026 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Social Sensing Privacy: A Review of Regulatory and Technical SolutionsSangjukta Halder, Smita Goswami, Nandkumar Haryan, Shailesh Raghunath Yadav · 2026 · Lecture notes in networks and systems
- CRISP: Supporting RTBF in enterprises using permissioned blockchainsAnand Manojkumar Parikh, Shamik Sural, Jaideep S. Vaidya, Vijayalakshmi Atluri · 2026 · Computers & Security
- Contracts Across Modalities: Detecting Embedding Staleness and Governance Drift in Multimodal Lakehouse ArchitecturesJagan Ankam · 2024 · International Journal of Computational and Experimental Science and Engineering
- DeepU: Deeper Granular Within-Layer Machine UnlearningAnudeep Vurity, Zhisheng Yan, Massimiliano Albanese · 2026 · IEEE Transactions on Information Forensics and Security
- Machine Unlearning Across AI Systems: A Scoping Review of Evidence, Evaluation, and Deployment ContextsHyeonwoo Kim, Jihoon Moon, Namkyun Baik · 2026 · Electronics
- Background of Machine UnlearningJie Xu, Xiaohua Jia · 2026 · Wireless networks
- Approximate Unlearning for Large Models via Noise InjectionJie Xu, Xiaohua Jia · 2026 · Wireless networks
- “Let Me Take That Back”: Designing and Testing Deletion Interfaces for Human-AI InteractionJustin Szczepaniak, Verena Zimmermann, Karola Marky · 2026 · Mensch und Computer (MuC)
- Privacy-First GenAI Marketing in Indian FintechD. Deepak · 2026 · Advances in computational intelligence and robotics book series
- Adaptive Machine Unlearning for Privacy PreservationCaleb Markus, Md Shohel Sayeed, Mukhtar Mustapha, Umar Ali Bukar · 2026 · SSRN Electronic Journal
- Structure-Preserving Logit Suppression for Machine UnlearningHyeon-Uk Kang, Jong-Ryul Lee · 2026 · SSRN Electronic Journal
- Not All Secrets Are Equal: Type-Aware Unlearning for Language Model Secret RemovalHoda Fakharzadehjahromy, Amath Sow, Andreas Bueff, Fredrik Heintz, Jiahui Geng, Mattias Tiger · 2026 · Lecture notes in computer science
- Analysis of the Impact of Unlearning on Individual Re-identification Risk Distribution in K-anonymous De-identification DataChan Yeong Cho, Sun‐Young Lee · 2026 · Lecture notes on data engineering and communications technologies
- A Review on Machine Unlearning Algorithms and Privacy ProtectionJohn Aliprantis, Christos Kalloniatis · 2026 · Electronics
- Fluid antenna assisted federated unlearning systemYixuan Chen, Zhaohui Yang, Hao Xu, Cheng Ceng, Yuqi Chen, Kai‐Kit Wong, Chaoyang ZHANG · 2026 · Scientia Sinica Informationis
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