Existing face anti-spoofing (FAS) models have achieved high performance on specific
datasets. However, for the application of real-world systems, the FAS model should …

Currently, face recognition technology (FRT) has been applied ubiquitously. However, due
to the abuse of personal face photos on social media, FRT has encountered unprecedented …

With the growing popularity of facial recognition (FR) in access control systems, there has
been a corresponding increase in presentation attacks (PAs) to gain unauthorized access …

Detecting moiré patterns in digital photographs is meaningful as it provides priors towards
image quality evaluation and demoiréing tasks. In this paper, we present a simple yet …

Currently, face recognition technology is the most widely used method for verifying an
individual's identity. Nevertheless, it has increased in popularity, raising concerns about face …

Previous anti-spoofing methods have used either pseudo maps or user-defined labels, and
the performance of each approach depends on the accuracy of the third party networks …

As two sides of the same coin, causality and explainable artificial intelligence (xAI) were
initially proposed and developed with different goals. However, the latter can only be …

Face anti-spoofing (FAS) aims to distinguish live images and facial spoof attacks to defend
facial recognition systems. Thanks to advancements in deep learning, recent deep learning …

Single-shot face anti-spoofing (FAS) is a key technique for securing face recognition
systems, relying solely on static images as input. However, single-shot FAS remains a …

Face anti-spoofing is crucial for ensuring the security and reliability of face recognition
systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect …