Search Results for author:
Found 4 papers, 0 papers with code
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Morphing attacks are an emerging threat to state-of-the-art Face Recognition (FR) systems, which aim to create a single image that contains the biometric information of multiple identities.
The Impact of Print-and-Scan in Heterogeneous Morph Evaluation Scenarios
Face morphing attacks present an emerging threat to the face recognition system.
Fast-DiM: Towards Fast Diffusion Morphs
Diffusion Morphs (DiM) are a recent state-of-the-art method for creating high quality face morphs; however, they require a high number of network function evaluations (NFE) to create the morphs. We propose a new DiM pipeline, Fast-DiM, which can create morphs of a similar quality but with lower NFE.
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
Face morphing attacks seek to deceive a Face Recognition (FR) system by presenting a morphed image consisting of the biometric qualities from two different identities with the aim of triggering a false acceptance with one of the two identities, thereby presenting a significant threat to biometric systems.
