Face Recognition is considered one of the most common biometric solutions these days and is widely used across a range of devices for various security purposes. The performance of …
One-class anomaly detection approaches are particularly appealing for use in face presentation attack detection (PAD), especially in an unseen attack scenario, where the …
R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
M Shen, H Yu, L Zhu, K Xu, Q Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples …
The advances in human face recognition (FR) systems have recorded sublime success for automatic and secured authentication in diverse domains. Although the traditional methods …
AF Abate, L Cimmino, I Cuomo… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Smart factories are fostered by integrating intelligent systems and ICT technologies. The role they play is crucial in the spread of Industry 4.0 and the economic growth of developed …
Vulnerability of face recognition systems to presentation attacks has attracted increasing attention from the biometrics and forensics communities. Moreover, the recent availability of …
SR Arashloo - IEEE Transactions on Circuits and Systems for …, 2020 - ieeexplore.ieee.org
We address the face presentation attack detection problem in the challenging conditions of an unseen attack scenario where the system is exposed to novel presentation attacks that …
P Anthony, B Ay, G Aydin - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The applicability, popularity, and usage of face recognition systems are undoubtedly increasing due to their advantages of being very convenient, contactless, and nonintrusive …