Code for our paper Dissecting Distribution Inference, appearing in SaTML 2023.
Folder structure:
rebase: Main package that includes functionality for training models, launching white-box and black-box attacks, and logging & generating plots.experiments: Contains scripts to use the package for experiments.
Please go through the README files in both folders for appropriate instructions.
If you use this code, please cite our paper:
@inproceedings{suri2023dissecting,
title={Dissecting Distribution Inference},
author={Suri, Anshuman and Lu, Yifu and Chen, Yanjin and Evans, David},
booktitle={IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)},
year={2023}
}