59 citations · 238 across the 49 of their papers we have counts for
58 papers
Ghost Attack: Using 19th-Century Illusions to Fool 21st-Century Biometrics
Tyler Fitzsimmons, Adam Czajka
While the Pepper's Ghost illusion is a 19th-century optical technique, we found that this forgotten gimmick exposes vulnerabilities in modern face recognition systems. This paper i…
Intentional Electromagnetic Interference Attacks on Facial Recognition
Tyler Fitzsimmons, Adam Czajka
Attacks on general computer vision algorithms are often relegated to the digital domain, with the optimization performed purely in the digital world and then translated to physical…
Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition
Siamul Karim Khan, Patrick J. Flynn, Adam Czajka
NIST Iris Exchange (IREX) offers an appealing solution to evaluating new open-source iris recognition algorithms, but it presents high barriers to entry because these algorithms mu…
Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examination
Rasel Ahmed Bhuiyan, Parisa Farmanifard, Renu Sharma +7
Post-mortem iris recognition brings both hope to the forensic community (a short-term but accurate and fast means of verifying identity) as well as concerns to society (its potenti…
Iris Recognition for Infants
Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz +2
Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-nat…
Forensic Iris Image-Based Post-Mortem Interval Estimation
Rasel Ahmed Bhuiyan, Adam Czajka
Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup. One factor that may be useful in conditioning iris recognition metho…
Forensic Iris Image Synthesis
Rasel Ahmed Bhuiyan, Adam Czajka
Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup, able to correctly identify deceased subjects even three weeks post-m…
EyePreserve: Identity-Preserving Iris Synthesis
Siamul Karim Khan, Patrick Tinsley, Mahsa Mitcheff +3
Synthesis of same-identity biometric iris images, both for existing and non-existing identities, while preserving the identity across a wide range of pupil sizes, is complex due to…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition
Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff +18
This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition inclu…
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training
Colton R. Crum, Aidan Boyd, Kevin Bowyer +1
Machine learning models have shown increased accuracy in classification tasks when the training process incorporates human perceptual information. However, a challenge in training…
Non-Generative Energy Based Models
Jacob Piland, Christopher Sweet, Priscila Saboia +2
Energy-based models (EBM) have become increasingly popular within computer vision. EBMs bring a probabilistic approach to training deep neural networks (DNN) and have been shown to…
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models
Colton Crum, Patrick Tinsley, Aidan Boyd +5
The performance of convolutional neural networks has continued to improve over the last decade. At the same time, as model complexity grows, it becomes increasingly more difficult…
Full-Body Cardiovascular Sensing with Remote Photoplethysmography
Lu Niu, Jeremy Speth, Nathan Vance +3
Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of…
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Jeremy Speth, Nathan Vance, Patrick Flynn +1
Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse esti…
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
Jeremy Speth, Nathan Vance, Benjamin Sporrer +3
Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown i…
Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors
Jacob Piland, Adam Czajka, Christopher Sweet
Deep learning-based models generalize better to unknown data samples after being guided "where to look" by incorporating human perception into training strategies. We made an obser…
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…
State Of The Art In Open-Set Iris Presentation Attack Detection
Aidan Boyd, Jeremy Speth, Lucas Parzianello +2
Research in presentation attack detection (PAD) for iris recognition has largely moved beyond evaluation in "closed-set" scenarios, to emphasize ability to generalize to presentati…
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Face image synthesis has progressed beyond the point at which humans can effectively distinguish authentic faces from synthetically generated ones. Recently developed synthetic fac…
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition
Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp +2
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in th…
DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation
Siamul Karim Khan, Patrick Tinsley, Adam Czajka
Nonlinear iris texture deformations due to pupil size variations are one of the main factors responsible for within-class variance of genuine comparison scores in iris recognition.…
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
Andrey Kuehlkamp, Aidan Boyd, Adam Czajka +4
Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-dupli…
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Can deep learning models achieve greater generalization if their training is guided by reference to human perceptual abilities? And how can we implement this in a practical manner?…
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…