36 papers
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic Irises
Patrick Tinsley, Adam Czajka, Patrick Flynn
Generative Adversarial Networks (GANs) have proven to be a preferred method of synthesizing fake images of objects, such as faces, animals, and automobiles. It is not surprising th…
Digital and Physical-World Attacks on Remote Pulse Detection
Jeremy Speth, Nathan Vance, Patrick Flynn +2
Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor. We present the first examples of p…
Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results
Jeremy Speth, Nathan Vance, Adam Czajka +3
We present the Deception Detection and Physiological Monitoring (DDPM) dataset and initial baseline results on this dataset. Our application context is an interview scenario in whi…
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd, Kevin Bowyer, Adam Czajka
Deep learning has driven remarkable accuracy increases in many computer vision problems. One ongoing challenge is how to achieve the greatest accuracy in cases where training data…
Remote Pulse Estimation in the Presence of Face Masks
Jeremy Speth, Nathan Vance, Patrick Flynn +2
Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face vid…
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models
Patrick Tinsley, Adam Czajka, Patrick Flynn
Generative adversarial networks (GANs) are able to generate high resolution photo-realistic images of objects that "do not exist." These synthetic images are rather difficult to de…