Keyword

machine unlearning

Description: Machine unlearning is a field of artificial intelligence developing methods for removing the influence of selected training data from learned models.

Primary topic: Privacy-Preserving Technologies in Data (77%)

Related topic: Privacy-Preserving Technologies in Data (77%)

Wikidata ID: wiki/Q118970497

OpenAlex ID: keywords/machine-unlearning

Machine Unlearning

2021 · Lucas Bourtoule, Varun Chandrasekaran, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 800

Towards Making Systems Forget with Machine Unlearning

2015 · Yinzhi Cao, Junfeng Yang · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 621

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining

2022 · Yi Liu, Lei Xu, et al. · 201

When Machine Unlearning Jeopardizes Privacy

2021 · Min Chen, Zhikun Zhang, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 195

Fast Yet Effective Machine Unlearning

2023 · Ayush K. Tarun, Vikram S. Chundawat, et al. · IEEE Transactions on Neural Networks and Learning Systems · 190

A Survey of Machine Unlearning

2025 · Thanh Tam Nguyen, Thanh Trung Huynh, et al. · ACM Transactions on Intelligent Systems and Technology · 189

Machine Unlearning: A Survey

2023 · Heng Xu, Tianqing Zhu, et al. · ACM Computing Surveys · 164

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

2022 · Anvith Thudi, Gabriel Deza, et al. · IEEE European Symposium on Security and Privacy · 135

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions

2024 · Ziyao Liu, Yu Jiang, et al. · ACM Computing Surveys · 132

Graph Unlearning

2022 · Min Chen, Zhikun Zhang, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 132

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher

2023 · Vikram S Chundawat, Ayush K Tarun, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 128

Machine Unlearning of Features and Labels

2023 · Alexander Warnecke, Lukas Pirch, et al. · Network and Distributed System Security Symposium · 119

FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks

2023 · Lefeng Zhang, Tianqing Zhu, et al. · IEEE Transactions on Information Forensics and Security · 113

Machine unlearning: linear filtration for logit-based classifiers

2022 · Thomas Baumhauer, Pascal Schöttle, et al. · Machine Learning · 110

Machine Unlearning: Solutions and Challenges

2024 · Jie Xu, Zihan Wu, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 109

Recommendation Unlearning

2022 · Chong Chen, Fei Sun, et al. · ACM Web Conference (WWW) · 109

Rethinking machine unlearning for large language models

2025 · Sijia Liu, Yuanshun Yao, et al. · Nature Machine Intelligence · 107

Remember What You Want to Forget: Algorithms for Machine Unlearning

2021 · Sekhari, Ayush, Acharya, Jayadev, et al. · arXiv (Cornell University) · 99

ARCANE: An Efficient Architecture for Exact Machine Unlearning

2022 · Haonan Yan, Xiaoguang Li, et al. · International Joint Conference on Artificial Intelligence · 97

Backdoor Defense with Machine Unlearning

2022 · Yang Liu, Mingyuan Fan, et al. · 95

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

2020 · Neel, Seth, Roth, Aaron, et al. · arXiv (Cornell University) · 94

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary

2023 · Min Chen, Weizhuo Gao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 90

HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning

2021 · Sebastian Schelter, Stefan Grafberger, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 88

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening

2024 · Jack Foster, Stefan Schoepf, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 82

A Review on Machine Unlearning

2023 · Haibo Zhang, Toru Nakamura, et al. · SN Computer Science · 78

Works count: 1,824

Citation count: 8,342