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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>We should probably apply this to all our mugshots on the expo website.<o:p></o:p></p><p class=MsoNormal>It’s Python too.<o:p></o:p></p><p class=MsoNormal><a href="http://sandlab.cs.uchicago.edu/fawkes/">http://sandlab.cs.uchicago.edu/fawkes/</a><o:p></o:p></p><p class=MsoNormal><a href="http://people.cs.uchicago.edu/~ravenben/publications/pdf/fawkes-usenix20.pdf">http://people.cs.uchicago.edu/~ravenben/publications/pdf/fawkes-usenix20.pdf</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>…takes your personal images and makes tiny, pixel-level changes that are invisible to the human eye, in a process we call <i>image cloaking</i>. 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 highly distorted version of what makes you look like you. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>we are under no illusion that this proposed system is itself future-proof,<o:p></o:p></p></div></body></html>