‘Creative’ Facial Verification with Generative Adversarial Networks

A new paper from Stanford University has proposed a nascent method for fooling facial authentication systems in platforms such as dating apps, by using a Generative Adversarial Network (GAN) to create alternative face images that contain the same essential ID information as a real face. The method successfully bypassed facial verification processes on dating applications … Continue reading ‘Creative’ Facial Verification with Generative Adversarial Networks