Machine Unlearning

This repository contains implementations of machine unlearning (MU) algorithms such as Amnesiac Unlearning, zero-glance and zero-shot unlearning via error-maximizing noise and gated knowledge transfer respectively, selective synaptic dampening (SSD), incompetent teacher unlearning, etc., exploring the nascent field of MU and its applications in the right to be forgotten, debiasing, influence functions and model interpretability, and more.

For more, please see ROADMAP.md

Introduction

For points of contact, please directly contact the authors of this repository.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
checkpoints		checkpoints
train_logs		train_logs
train_logs_temp		train_logs_temp
.gitignore		.gitignore
README.md		README.md
ROADMAP.md		ROADMAP.md
amnesiac_unlearning.ipynb		amnesiac_unlearning.ipynb
cifar_10_utils.py		cifar_10_utils.py
constants.py		constants.py
gated_knowledge_transfer.ipynb		gated_knowledge_transfer.ipynb
incompetent_teacher.ipynb		incompetent_teacher.ipynb
jit.ipynb		jit.ipynb
models.py		models.py
ssd.ipynb		ssd.ipynb
unsir.ipynb		unsir.ipynb
utils.py		utils.py
vit_cifar.ipynb		vit_cifar.ipynb
vit_constants.py		vit_constants.py