[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

Official implementation of "Deeper Understanding of Black-box Predictions via Generalized Influence Functions".

Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24]

Experiments for our CLEAR benchmark of unlearning methods in a multimodal setup

[NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts

Coursework and projects for ML course, including theoretical homework solutions/problems, final solution/problems and the project of the course

Papers related to Machine/ Federated Unlearning in all top venues

Unlearning Java, with Spring boot. AmigosCode https://youtu.be/9SGDpanrc8U

Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models". This work adversarially unlearns the text encoder to enhance the robustness of unlearned DMs against adversarial prompt attacks and achieves a better balance between unlearning performance and image generation

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

[EMNLP 2024 Findings] To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Demystifying Verbatim Memorization in Large Language Models

Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)

Repo on unlearning in FL. FYP22002@HKUCS.

Official Website of https://github.com/tamlhp/awesome-machine-unlearning

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"

ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"

Pytorch implementation of backdoor unlearning.