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

Abstract

In this paper we propose a novel easily reproducible technique to attack the best public Face ID system ArcFace in different shooting conditions. To create an attack, we print the rectangular paper sticker on a common color printer and put it on the hat. The adversarial sticker is prepared with a novel algorithm for off-plane transformations of the image which imitates sticker location on the hat. Such an approach confuses the state-of-the-art public Face ID model LResNet100E-IR, ArcFace@ms1m-refine-v2 and is transferable to other Face ID models.

References in corpus (9)

• Explaining and Harnessing Adversarial Examples
• Generative Adversarial Networks
• Learning Face Representation from Scratch
• YOLO9000: Better, Faster, Stronger
• Adversarial Examples that Fool Detectors
• Physical Adversarial Examples for Object Detectors
• Universal adversarial perturbations
• Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors
• Web-Scale Training for Face Identification

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• From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
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