Biometrics: Trust, but verify
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 …
applications around the globe. This proliferation can be attributed to the high levels of …
Deepfake: definitions, performance metrics and standards, datasets and benchmarks, and a meta-review
Recent advancements in AI, especially deep learning, have contributed to a significant
increase in the creation of new realistic-looking synthetic media (video, image, and audio) …
increase in the creation of new realistic-looking synthetic media (video, image, and audio) …
Wild face anti-spoofing challenge 2023: Benchmark and results
Face anti-spoofing (FAS) is an essential mechanism for safeguarding the integrity of
automated face recognition systems. Despite substantial advancements, the generalization …
automated face recognition systems. Despite substantial advancements, the generalization …
Face liveness detection competition (livdet-face)-2021
S Purnapatra, N Smalt, K Bahmani… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Liveness Detection (LivDet)-Face is an international competition series open to academia
and industry. The competition's objective is to assess and report state-of-the-art in …
and industry. The competition's objective is to assess and report state-of-the-art in …
Exploring the effectiveness of lightweight architectures for face anti-spoofing
Y Martínez-Díaz, H Méndez-Vázquez… - Proceedings of the …, 2023 - openaccess.thecvf.com
Detecting spoof faces is crucial in ensuring the robustness of face-based identity recognition
and access control systems, as faces can be captured easily without the user's cooperation …
and access control systems, as faces can be captured easily without the user's cooperation …
Monocular facial presentation–attack–detection: Classifying near-infrared reflectance patterns
Featured Application Face-recognition for monocular systems (eg, phones and buildings).
Abstract This paper presents a novel material spectroscopy approach to facial presentation …
Abstract This paper presents a novel material spectroscopy approach to facial presentation …
Improving Monocular Facial Presentation–Attack–Detection Robustness with Synthetic Noise Augmentations
We present a synthetic augmentation approach towards improving monocular face
presentation–attack–detection (PAD) robustness to real-world noise additions. Face PAD …
presentation–attack–detection (PAD) robustness to real-world noise additions. Face PAD …
Post-train adaptive MobileNet for fast anti-spoofing
K Khabarlak - arXiv preprint arXiv:2207.13410, 2022 - arxiv.org
Many applications require high accuracy of neural networks as well as low latency and user
data privacy guaranty. Face anti-spoofing is one of such tasks. However, a single model …
data privacy guaranty. Face anti-spoofing is one of such tasks. However, a single model …
Review of face presentation attack detection competitions
Face presentation attack detection (PAD) has received increasing attention ever since the
vulnerabilities to spoofing have been widely recognized. The state of the art in unimodal and …
vulnerabilities to spoofing have been widely recognized. The state of the art in unimodal and …
Presentation attack detection: an analysis of spoofing in the wild (SiW) dataset using deep learning models
Presentation attacks are executed to attain illegitimate access to the system. They are
categorized by their mode of action as a print attack, replay attack, and spoof attack, and by …
categorized by their mode of action as a print attack, replay attack, and spoof attack, and by …