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Labyrinths of the World: Fool's Gold. Please download the newest version of Fawkes below. It has seen the true arrival of commodized machine learning, where deep learning models and algorithms are readily available to Internet users. GPUs are cheaper and more readily available than ever, and new training methods like transfer learning have made it possible to train powerful deep learning models using smaller sets of data.
But accessible machine learning also has its downsides. So how do we protect ourselves against unauthorized third parties building facial recognition models that recognize us wherever we may go? Regulations can and will help restrict the use of machine learning by public companies but will have negligible impact on private organizations, individuals, or even other nation states with similar goals.
The SAND Lab at University of Chicago has developed Fawkes 1 , 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.
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