Using “Master Faces” to Bypass Face-Recognition Authenticating Systems
Fascinating research: “ Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution.” Abstract: A master face is a face image that passes face-based identity-authentication for a large portion of the population. These faces can be used to impersonate, with a high probability of success, any user, without having access to any user-information. We optimize these faces, by using an evolutionary algorithm in the latent embedding space of the StyleGAN face generator. Multiple evolutionary strategies are compared, and we propose a novel approach that employs a neural network in order to direct the search in the direction of [...]