Towards Making Systems Forget with Machine Unlearning

Cao, Yinzhi, Yang, Junfeng·2015·2015 IEEE Symposium on Security and Privacy
DOI 10.1109/sp.2015.35

Cited by (627)

Items 601–627 of 627

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    Steve Drew, Guojun Tang, Zainab Saad, Jiayu Zhou, Yong Chen, Fei Wang · 2026 · npj Health Systems
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  10. Learning to Forget Under Resource Scarcity: An Alzheimer’s-Inspired Lightweight Backdoor Unlearning Scheme
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  16. FedErase: Personalized Federated Unlearning for Text-to-Image Diffusion Models
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  18. Risk-Adaptive Behavioral Attenuation via Episode-Latched Policy Gating and Bounded Relearning for Deployed Reinforcement Learning Agents
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  20. Correcting AI-generated false criminal allegations: a human-rights framework for remedial closure
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  22. Conflict-Aware Federated Feature Unlearning for Mitigating Representation-Level Attribute Leakage
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  23. Probabilistic Unlearning-Based Defense for Robust and Efficient Edge Learning
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  24. Certified Data Removal from Machine Learning Models
    Guo, Chuan, Goldstein, Tom, Hannun, Awni, van der Maaten, Laurens · 2019 · arXiv
  25. Towards Probabilistic Verification of Machine Unlearning
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  26. DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
    He, Yingzhe, Meng, Guozhu, Chen, Kai, He, Jinwen, Hu, Xingbo · 2021 · arXiv
  27. Machine unlearning via GAN
    Chen, Kongyang, Huang, Yao, Wang, Yiwen · 2021 · arXiv