Historia

Shawn-Shan 30fa1635a5 endpoint api Former-commit-id: 101c0d4cfbfe62d873a289a1ba1ccb47bdbd66f5 [formerly 57e917cb08f4219a703fbdab6e782490077e8480] Former-commit-id: 6a0071b5ca45c7651f3aceb952a0eebddfcc6897		2020-07-06 16:52:46 -05:00
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__pycache__	endpoint api	2020-07-06 16:52:46 -05:00
README.md	0.0.1	2020-06-29 11:14:48 -05:00
Untitled.ipynb.REMOVED.git-id	0.01	2020-07-01 21:16:03 -05:00
__init__.py	cli	2020-07-02 12:32:05 -05:00
__main__.py	cli	2020-07-02 12:32:05 -05:00
align_face.py	cli	2020-07-02 12:32:05 -05:00
detect_face.py	cli	2020-07-02 12:32:05 -05:00
differentiator.py	endpoint api	2020-07-06 16:52:46 -05:00
protection.py	endpoint api	2020-07-06 16:52:46 -05:00
utils.py	endpoint api	2020-07-06 16:52:46 -05:00

README.md

Fawkes

This application is built for individuals to cloak their images before uploading to the Internet. For more information about the project, please refer to our project webpage.

If you are a developer or researcher planning to customize and modify on our existing code. Please refer to fawkes_dev.

How do I protect my images?

TBD

Citation

@inproceedings{shan2020fawkes,
  title={Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models},
  author={Shan, Shawn and Wenger, Emily and Zhang, Jiayun and Li, Huiying and Zheng, Haitao and Zhao, Ben Y},
  booktitle="Proc. of USENIX Security",
  year={2020}
}

Code implementation of the paper "Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models", at USENIX Security 2020.