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Awesome Machine Unlearning (A Survey of Machine Unlearning)
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Privacy Testing for Deep Learning
[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
Python package for measuring memorization in LLMs.
[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
reveal the vulnerabilities of SplitNN
A repository about literature of copyright protection in deep learning.