Awesome

Dissecting Distribution Inference

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}
}