Existing Literature about Machine Unlearning
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Updated
Jan 11, 2025
Existing Literature about Machine Unlearning
Awesome Machine Unlearning (A Survey of 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
Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
A comprehensive SQL-based project for managing a Pokémon database. Includes scripts for creating, reading, updating, and deleting trainers, Pokémon, battles, and trainer-Pokémon relationships.
This Python script is designed to help users exercise their GDPR rights by sending personalized emails to data brokers requesting the erasure of personal data.
Supplementary programmes for DeRDaVa: Deletion-Robust Data Valuation for Machine Learning.
This repository is an implementation of machine unlearning in deep learning model.
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