Adversarial Attacks on Face Detection Algorithms Using Anti-facial Recognition T-Shirts

Ewa Lyko, Michal Kedziora

Abstract: Purpose of the paper was to analyze adversarial attacks on face detection algorithms with the use of anti-facial recognition T-shirts. In the research we also checked whether the methods used to attack detectors of objects are effective in attacking face detectors. Research has been proposed to verify the safety of computer vision algorithms on the example of face detection. An attempt was made to attack the object detector with 63 prepared examples. Each of the examples contained a specially generated adversarial pattern, which was then placed on the T-shirt in a digital version or in the form of a physically printed sheet applied to the T-shirt.