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Merge branch 'master' of https://github.com/Shawn-Shan/fawkes
Former-commit-id: f0c762735c65492816ef3b5dc9cbbb4b8aea28c5 [formerly 8fd01229e0c09d8034705dd6e990ca685c9d9111] Former-commit-id: a29febcba88adb22fe87b68d6eeee431695e961a
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@ -29,9 +29,9 @@ when --mode is `custom`:
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* `--feature-extractor` : name of the feature extractor to use
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* `--feature-extractor` : name of the feature extractor to use
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* `--separate_target` : whether select separate targets for each faces in the diectory.
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* `--separate_target` : whether select separate targets for each faces in the diectory.
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### Example
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`fawkes -d ./imgs --mode mid`
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### Tips
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### Tips
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@ -1,26 +1,22 @@
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# Fawkes
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# Fawkes Binary
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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](http://sandlab.cs.uchicago.edu/fawkes/).
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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](http://sandlab.cs.uchicago.edu/fawkes/).
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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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If you are a developer or researcher planning to customize and modify on our existing code. Please refer to [fawkes](https://github.com/Shawn-Shan/fawkes/tree/master/).
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### How to Setup
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#### MAC:
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* Download the binary following this [link](http://sandlab.cs.uchicago.edu/fawkes/files/fawkes_binary.zip) and unzip the download file.
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* Create a directory and move all the images you wish to protect into that directory. Note the path to that directory (e.g. ~/Desktop/images).
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* Open [terminal](https://support.apple.com/guide/terminal/open-or-quit-terminal-apd5265185d-f365-44cb-8b09-71a064a42125/mac) and change directory to fawkes (the unzipped folder).
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* (If your MacOS is Catalina) Run `sudo spctl --master-disable` to enable running apps from unidentified developer. We are working on a solution to bypass this step.
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* Run `./fawkes -d IMAGE_DIR_PATH -m low` to generate cloak for images in `IMAGE_DIR_PATH`.
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* When the cloaked image is generated, it will output a `*_low_cloaked.png` image in `IMAGE_DIR_PATH`. The generation takes ~40 seconds per image depending on the hardware.
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* More details on the optional parameters check out the [github repo](https://github.com/Shawn-Shan/fawkes/tree/master/).
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# How do I protect my images?
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#### PC:
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More details coming soon. The steps should be similar to the MAC setup.
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TBD
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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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```
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Code implementation of the paper "[Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models](https://arxiv.org/pdf/2002.08327.pdf)", at *USENIX Security 2020*.
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