Machine Unlearning

2021 inproceedings bourtoule2021sisa ○ Not yet verified

Authors

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

Venue

IEEE Symposium on Security and Privacy (S&P)

Abstract

Introduces SISA (Sharded, Isolated, Sliced, Aggregated) training for efficient exact machine unlearning. Partitions data into shards with separate models, enabling targeted retraining when data must be forgotten.

BibTeX

Local Entry

@inproceedings{bourtoule2021sisa,
  title = {Machine Unlearning},
  author = {Lucas Bourtoule and Varun Chandrasekaran and Christopher A. Choquette-Choo and Hengrui Jia and Adelin Travers and Baiwu Zhang and David Lie and Nicolas Papernot},
  year = {2021},
  booktitle = {IEEE Symposium on Security and Privacy (S&P)},
  url = {https://arxiv.org/abs/1912.03817},
  abstract = {Introduces SISA (Sharded, Isolated, Sliced, Aggregated) training for efficient exact machine unlearning. Partitions data into shards with separate models, enabling targeted retraining when data must be forgotten.}
}

From OPENALEX

@inproceedings{bourtoule2021sisa,
  title = {Machine Unlearning},
  author = {Lucas Bourtoule and Varun Chandrasekaran and Christopher A. Choquette-Choo and Hengrui Jia and Adelin Travers and Baiwu Zhang and David Lie and Nicolas Papernot},
  year = {2021},
  doi = {10.1109/sp40001.2021.00019}
}