Leveraging Diffusion For Strong and High Quality Face Morphing Attacks

arXiv:2301.04218v4 Announce Type: replace-cross
Abstract: Face morphing attacks seek to deceive a Face Recognition (FR) system by presenting a morphed image consisting of the biometric qualities from two different identities with the aim of triggering a false acceptance with one of the two identities, thereby presenting a significant threat to biometric systems. The success of a morphing attack is dependent on the ability of the morphed image to represent the biometric characteristics of both identities that were used to create …

abstract aim arxiv attacks biometric cs.cr cs.cv cs.lg diffusion face face recognition false image presenting quality recognition threat type