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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.

Data Acknowledgements