FREE FAWKES (photograph cloaking for personal privacy) APPLICATION 

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FREE FAWKES (photograph cloaking for personal privacy) APPLICATION 

“The SAND Lab at University of Chicago has developed Fawkes1, an algorithm and software tool (running locally on your computer) that gives individuals the ability to limit how unknown third parties can track them by building facial recognition models out of their publicly available photos. At a high level, Fawkes ‘poisons’ models that try to learn what you look like, by putting hidden changes into your photos, and using them as Trojan horses to deliver that poison to any facial recognition models of you. Fawkes takes your personal images and makes tiny, pixel-level changes that are invisible to the human eye, in a process we call image cloaking. You can then use these ‘cloaked’ photos as you normally would, sharing them on social media, sending them to friends, printing them or displaying them on digital devices, the same way you would any other photo. The difference, however, is that if and when someone tries to use these photos to build a facial recognition model, ‘cloaked’ images will teach the model an [sic] highly distorted version of what makes you look like you. The cloak effect is not easily detectable by humans or machines and will not cause errors in model training. However, when someone tries to identify you by presenting an unaltered, ‘uncloaked’ image of you (e.g. a photo taken in public) to the model, the model will fail to recognize you.” (Source: Fawkes Introduction page.) 

I cannot independently verify the credibility of Fawkes, but below are some references that I discovered. 

The Fawkes application was reported on by the New York Times in this 2020-08-03 article titled “This Tool Could Protect Your Photos from Facial Recognition”: https://www.nytimes.com/2020/08/03/technology/fawkes-tool-protects-photos-from-facial-recognition.html (Unfortunately, the article is behind a paywall.) 

Fawkes was the subject of a 16-page article by its creators titled “Fawkes: Protecting Privacy against Unauthorized Deep Learning Models” and presented at the 29th USENIX Security Symposium: http://people.cs.uchicago.edu/~ravenben/publications/pdf/fawkes-usenix20.pdf 

On 2020-08-13, Fawkes was formally presented at the 29th USENIX Security Symposium: https://www.usenix.org/conference/usenixsecurity20/technical-sessions 

https://www.usenix.org/conference/usenixsecurity20/presentation/shan 

Here is a link to the website of University of Chicago Department of Computer Science Professor Ben Y. Zhao whose laboratory is credited with creating Fawkes: https://cs.uchicago.edu/people/ben-y-zhao/ 

Official website of Fawkes: https://sandlab.cs.uchicago.edu/fawkes/ 

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