Publications (20)
Infant-ID: Fingerprints for Global Good
Joshua J. Engelsma, Debayan Deb, Kai Cao +3
In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition. Lamentably, the lack…
AdvBiom: Adversarial Attacks on Biometric Matchers
Debayan Deb, Vishesh Mistry, Rahul Parthe
With the advent of deep learning models, face recognition systems have achieved impressive recognition rates. The workhorses behind this success are Convolutional Neural Networks (…
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations
Inci M. Baytas, Debayan Deb
Upon the discovery of adversarial attacks, robust models have become obligatory for deep learning-based systems. Adversarial training with first-order attacks has been one of the m…
Altered Fingerprints: Detection and Localization
Elham Tabassi, Tarang Chugh, Debayan Deb +1
Fingerprint alteration, also referred to as obfuscation presentation attack, is to intentionally tamper or damage the real friction ridge patterns to avoid identification by an AFI…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
Child Face Age-Progression via Deep Feature Aging
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose a featu…
Infant-Prints: Fingerprints for Reducing Infant Mortality
Joshua J. Engelsma, Debayan Deb, Anil K. Jain +2
In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition. Lamentably, the lack of any officia…
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
Debayan Deb, Xiaoming Liu, Anil K. Jain
Prevailing defense mechanisms against adversarial face images tend to overfit to the adversarial perturbations in the training set and fail to generalize to unseen adversarial atta…
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
Debayan Deb, Anil K. Jain
State-of-the-art spoof detection methods tend to overfit to the spoof types seen during training and fail to generalize to unknown spoof types. Given that face anti-spoofing is inh…
AdvFaces: Adversarial Face Synthesis
Debayan Deb, Jianbang Zhang, Anil K. Jain
Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images. Such adversarial images can lead state-…
Biometrics: Trust, but Verify
Anil K. Jain, Debayan Deb, Joshua J. Engelsma
Over the past two decades, biometric recognition has exploded into a plethora of different applications around the globe. This proliferation can be attributed to the high levels of…
Face Recognition: Primates in the Wild
Debayan Deb, Susan Wiper, Alexandra Russo +4
We present a new method of primate face recognition, and evaluate this method on several endangered primates, including golden monkeys, lemurs, and chimpanzees. The three datasets…
WarpGAN: Automatic Caricature Generation
Yichun Shi, Debayan Deb, Anil K. Jain
We propose, WarpGAN, a fully automatic network that can generate caricatures given an input face photo. Besides transferring rich texture styles, WarpGAN learns to automatically pr…
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu +4
Deep neural networks (DNN) have achieved unprecedented success in numerous machine learning tasks in various domains. However, the existence of adversarial examples has raised conc…
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
Debayan Deb, Arun Ross, Anil K. Jain +2
Prevailing user authentication schemes on smartphones rely on explicit user interaction, where a user types in a passcode or presents a biometric cue such as face, fingerprint, or…
Matching Fingerphotos to Slap Fingerprint Images
Debayan Deb, Tarang Chugh, Joshua Engelsma +4
We address the problem of comparing fingerphotos, fingerprint images from a commodity smartphone camera, with the corresponding legacy slap contact-based fingerprint images. Develo…
Longitudinal Study of Child Face Recognition
Debayan Deb, Neeta Nain, Anil K. Jain
We present a longitudinal study of face recognition performance on Children Longitudinal Face (CLF) dataset containing 3,682 face images of 919 subjects, in the age group [2, 18] y…
MUNCH: Modelling Unique 'N Controllable Heads
Debayan Deb, Suvidha Tripathi, Pranit Puri
The automated generation of 3D human heads has been an intriguing and challenging task for computer vision researchers. Prevailing methods synthesize realistic avatars but with lim…
Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-…
Unified Detection of Digital and Physical Face Attacks
Debayan Deb, Xiaoming Liu, Anil K. Jain
State-of-the-art defense mechanisms against face attacks achieve near perfect accuracies within one of three attack categories, namely adversarial, digital manipulation, or physica…