Run-Off Election: Improved Provable Defense against Data Poisoning Attacks

This repository provides the PyTorch implementation of the following paper:

• Run-Off Election: Improved Provable Defense against Data Poisoning Attacks

Intructions to use our code can be found in guideline.md.

Paper

Run-Off Election: Improved Provable Defense against Data Poisoning Attacks

Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, and Soheil Feizi

International Conference on Machine Learning (ICML), 2023.
open access: arXiv

Citation

If you find our work useful, please cite:

@article{rezaei2023run,
  title={Run-Off Election: Improved Provable Defense against Data Poisoning Attacks},
  author={Rezaei, Keivan and Banihashem, Kiarash and Chegini, Atoosa and Feizi, Soheil},
  journal={arXiv preprint arXiv:2302.02300},
  year={2023}
}