Toward Face Biometric De-identification using Adversarial Examples. (arXiv:2302.03657v1 [cs.CV])

The remarkable success of face recognition (FR) has endangered the privacy of
internet users particularly in social media. Recently, researchers turned to
use adversarial examples as a countermeasure. In this paper, we assess the
effectiveness of using two widely known adversarial methods (BIM and ILLC) for
de-identifying personal images. We discovered, unlike previous claims in the
literature, that it is not easy to get a high protection success rate
(suppressing identification rate) with imperceptible adversarial perturbation
to the human visual …

adversarial biometric claims face recognition high identification images internet literature media personal privacy protection rate recognition researchers social social media