A Liu, S Xue, J Gan, J Wan, Y Liang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the model's performance on unseen domains. Existing methods either rely on domain labels to …
In this paper we study the problem of generalizable synthetic image detection aiming to detect forgery images from diverse generative methods eg GANs and diffusion models …
Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems against presentation attacks. While domain generalization (DG) methods have been …
Recently, vision transformer (ViT) based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, there are still no …
Face Recognition (FR) systems can suffer from physical (ie, print photo) and digital (ie, DeepFake) attacks. However, previous related work rarely considers both situations at the …
X Lin, S Wang, R Cai, Y Liu, Y Fu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against presentation attacks. With advancements in sensor manufacture and multi-modal learning …
T Zheng, B Li, S Wu, B Wan, G Mu, S Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The generalizable face anti-spoofing (FAS) has attracted much attention recently. Even though many existing methods perform well under intra-domain settings, the model's …
Deep neural networks are increasingly employed to create adversarial face images, aiming to deceive face recognition systems. While the majority of studies concentrate on digital …
P Deng, C Ge, H Wei, Y Sun, X Qiao - Engineering Applications of Artificial …, 2024 - Elsevier
Multimodal face anti-spoofing systems adopt multiple sensor modalities, such as infrared, color, depth, and thermal, to distinguish between living and spoofing faces via …