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Awesome Machine Unlearning ⭐ 508

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Unlearn Saliency ⭐ 41

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu

Unlearn Sparse ⭐ 38

[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

Diffusion Mu Attack ⭐ 16

The official implementation of the paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and efficient attack methods to generate toxic content for safety-driven diffusion models.

Unlearning_for_mri_harmonisation ⭐ 13

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

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