Unreasonably Effective Face Morphing Attacks Using Greedy Diffusion Models

Greedy-DiM, a novel family of face morphing algorithms, achieves unreasonably effective performance in fooling state-of-the-art face recognition systems, outperforming all other morphing attacks compared.