19 citations · 31 across the 9 of their papers we have counts for
6 papers · 1 filter
Elytra: A Flexible Framework for Securing Large Vision Systems
Richard E. Neddo, Emmanuel Atindama, Zander W. Blasingame +1
Adversarial attacks have emerged as a critical threat to autonomous driving systems. These attacks exploit the underlying neural network, allowing small, almost invisible, perturba…
AdjointDEIS: Efficient Gradients for Diffusion Models
Zander W. Blasingame, Chen Liu
The optimization of the latents and parameters of diffusion models with respect to some differentiable metric defined on the output of the model is a challenging and complex proble…
The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios
Richard E. Neddo, Zander W. Blasingame, Chen Liu
Face morphing attacks pose an increasing threat to face recognition (FR) systems. A morphed photo contains biometric information from two different subjects to take advantage of vu…
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
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 id…
Fast-DiM: Towards Fast Diffusion Morphs
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 crea…
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
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…