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Found 20 papers, 8 papers with code
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
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 be covered in more detail.
MUNCH: Modelling Unique 'N Controllable Heads
We propose a method that offers quality, diversity, control, and realism along with explainable network design, all desirable features to game-design artists in the domain.
AdvBiom: Adversarial Attacks on Biometric Matchers
With the advent of deep learning models, face recognition systems have achieved impressive recognition rates.
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations
However, the adversarial training with gradient-based attacks lacks diversity and does not generalize well to natural images and various attacks.
Biometrics: Trust, but Verify
Over the past two decades, biometric recognition has exploded into a plethora of different applications around the globe.
Unified Detection of Digital and Physical Face Attacks
Proposed UniFAD outperforms prevailing defense methods and their fusion with an overall TDR = 94. 73% @ 0. 2% FDR on a large fake face dataset consisting of 341K bona fide images and 448K attack images of 25 types across all 3 categories.
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
During training, FaceGuard automatically synthesizes challenging and diverse adversarial attacks, enabling a classifier to learn to distinguish them from real faces and a purifier attempts to remove the adversarial perturbations in the image space.
Infant-ID: Fingerprints for Global Good
In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition.
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
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.
Child Face Age-Progression via Deep Feature Aging
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.
Finding Missing Children: Aging Deep Face Features
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.
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
In this survey, we review the state of the art algorithms for generating adversarial examples and the countermeasures against adversarial examples, for the three popular data types, i. e., images, graphs and text.
AdvFaces: Adversarial Face Synthesis
Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images.
Infant-Prints: Fingerprints for Reducing Infant Mortality
In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition.
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
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 iris.
WarpGAN: Automatic Caricature Generation
We propose, WarpGAN, a fully automatic network that can generate caricatures given an input face photo.
Altered Fingerprints: Detection and Localization
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 AFIS.
Face Recognition: Primates in the Wild
We present a new method of primate face recognition, and evaluate this method on several endangered primates, including golden monkeys, lemurs, and chimpanzees.
Matching Fingerphotos to Slap Fingerprint Images
We address the problem of comparing fingerphotos, fingerprint images from a commodity smartphone camera, with the corresponding legacy slap contact-based fingerprint images.
Longitudinal Study of Child Face Recognition
Face comparison scores are obtained from (i) a state-of-the-art COTS matcher (COTS-A), (ii) an open-source matcher (FaceNet), and (iii) a simple sum fusion of scores obtained from COTS-A and FaceNet matchers.
