Researchers from Israel have developed a neural network capable of generating ‘master’ faces – facial images that are each capable of impersonating multiple IDs. The work suggests that it’s possible to generate such ‘master keys’ for more than 40% of the population using only 9 faces synthesized by the StyleGAN Generative Adversarial Network (GAN), via … Continue reading ‘Master Faces’ That Can Bypass Over 40% Of Facial ID Authentication Systems