Popular GitHub Repositories for 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

Awesome Federated Unlearning (FU) Papers (Continually Update)

General Strategy for Unlearning in Graph Neural Networks

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)

An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)

Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models (ICLR 2025)

A novel multi-objective responsible machine unlearning using NSGA-II

A curated repository of resources on bias and machine unlearning in Large Language Models.

Source code for "Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models", Findings of EMNLP 2024