Presented three of our papers @ IJCB 2024

Presented three of our papers @ IJCB 2024.

• Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs (Main Conference): A novel face morphing algorith with extends DiM via a greedy strategy to increase the effectivness of face morphing. Achieves SOTA results beating all pre-existing methods.

• Leveraging Diffusion For Strong and High Quality Face Morphing Attacks (DiM) (Journal Presentation - IEEE TBIOM): The first work to propose face morphing with diffusion models. Outperforms GAN-based models on the morphing task.

• The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios (Special Session): A study on the impact the print-and-scan process has on the vulnerability of FR systems to face morphing attacks.