Awesome Machine Unlearning (A Survey of Machine Unlearning)
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Updated
Aug 13, 2026 - Jupyter Notebook
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Existing Literature about Machine Unlearning
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
Machine Unlearning for Random Forests
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