activity
20162022
most citedProvenance Filtering for Multimedia Phylogeny

1 citations · 1 across the 6 of their papers we have counts for

collaborators

19 papers

cs.CV2022

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV2020

Learning Transformation-Aware Embeddings for Image Forensics

Aparna Bharati, Daniel Moreira, Patrick Flynn +3

A dramatic rise in the flow of manipulated image content on the Internet has led to an aggressive response from the media forensics research community. New efforts have incorporate…