no code implementations • 23 May 2024 • Zander W. Blasingame, Chen Liu
We propose a novel method based on the stochastic adjoint sensitivity method to calculate the gradientwith respect to the initial noise, conditional information, and model parameters by solving an additional SDE whose solution is the gradient of the diffusion SDE.
no code implementations • 9 Apr 2024 • Zander W. Blasingame, Chen Liu
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.
no code implementations • 9 Apr 2024 • Richard E. Neddo, Zander W. Blasingame, Chen Liu
Face morphing attacks present an emerging threat to the face recognition system.
no code implementations • 14 Oct 2023 • Zander W. Blasingame, Chen Liu
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.
no code implementations • 10 Jan 2023 • Zander W. Blasingame, Chen Liu
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.