The availability of large-scale facial databases, together with the remarkable progresses of
deep learning technologies, in particular Generative Adversarial Networks (GANs), have led …

The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

To assess the vulnerability of deep learning in the physical world, recent works introduce
adversarial patches and apply them on different tasks. In this paper, we propose another …

Detecting digital face manipulation has attracted extensive attention due to the potential
harms of fake media to the public. However, recent advances have been able to reduce the …

This work introduces a novel DeepFake detection framework based on physiological
measurement. In particular, we consider information related to the heart rate using remote …

Face presentation attack detection (PAD) is essential for securing the widely used face
recognition systems. Most of the existing PAD methods do not generalize well to unseen …

In this paper, we present a comprehensive review of the literature on biometric user
authentication, encompassing an analysis of key aspects such as the selection of biometric …

The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …