Skip to content

Latest commit

 

History

History
21 lines (16 loc) · 1.04 KB

README.md

File metadata and controls

21 lines (16 loc) · 1.04 KB
Raw

Machine Unlearning with SISA

Lucas Bourtoule, Varun Chandrasekaran, Christopher Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot

This repository contains the core code used in the SISA experiments of our Machine Unlearning paper along with some example scripts.

You can start runing experiments by having a look at the readme in the purchase example folder at example-scripts/purchase-sharding.

sisa.py is the script that trains a given shard. It should be run as many times as the number of shards.

Citing this work

If you use this repository for academic research, you are highly encouraged (though not required) to cite our paper:

@inproceedings{bourtoule2021machine,
  title={Machine Unlearning},
  author={Lucas Bourtoule and Varun Chandrasekaran and Christopher Choquette-Choo and Hengrui Jia and Adelin Travers and Baiwu Zhang and David Lie and Nicolas Papernot},
  booktitle={Proceedings of the 42nd IEEE Symposium on Security and Privacy},
  year={2021}
}