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[R] AdvHat: Real-world adversarial attack on ArcFace Face ID system

Hi! We have done some interesting research on breaking the current best public Face ID system – ArcFace – using the adversarial attack technique. It’s quite ordinary but what we succeed is to do it in the real world (i.e. made it not in digital domain only): someone can print the color sticker and stick it to a hat, and after that the similarity with the ground truth drops significantly. Even some sort of attack transferability to other top Face ID models from insightface exists.

Paper: https://arxiv.org/abs/1908.08705

Code: https://github.com/papermsucode/advhat

Video demonstration: https://www.youtube.com/watch?v=a4iNg0wWBsQ

Any comments are welcome!

submitted by /u/AleksanderPet
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.