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22 lines
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22 lines
1.1 KiB
Markdown
# Fawkes
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Fawkes is a privacy protection system developed by researchers at University of Chicago. For more information about the project, please refer to our project [webpage](http://sandlab.cs.uchicago.edu/fawkes/).
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We published an academic paper to summary our work "[Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models](https://arxiv.org/pdf/2002.08327.pdf)" at *USENIX Security 2020*.
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### BEFORE YOU RUN OUR CODE
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If you would like to use Fawkes to protect your images, please check out our binary implementation on the [website](http://sandlab.cs.uchicago.edu/fawkes/#code).
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If you are a developer or researcher planning to customize and modify on our existing code. Please refer to [fawkes_dev](https://github.com/Shawn-Shan/fawkes/tree/master/fawkes_dev).
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### Citation
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```
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@inproceedings{shan2020fawkes,
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title={Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models},
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author={Shan, Shawn and Wenger, Emily and Zhang, Jiayun and Li, Huiying and Zheng, Haitao and Zhao, Ben Y},
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booktitle="Proc. of USENIX Security",
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year={2020}
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}
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``` |