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[R] AdvFaces: Adversarial Face Synthesis for Attacking State-of-the-Art Face Recognition Systems

Hello Reddit! We successfully attacked 5 state-of-the-art Face ID systems – FaceNet, SphereFace, ArcFace, using synthesized adversarial faces via GAN. The adversarial faces look visually realistic and very similar to the original probes (to a human) while evading face matchers.

Our method is trained on FaceNet but via the attack transferability property, the pretrained model can be used to attack any face recognition system.

I eagerly look forward to your comments!

Paper: https://arxiv.org/abs/1908.05008

submitted by /u/debayandeb3050
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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.