The recent literature reveals a dichotomy formed by a coevolution between cryptography
and Artificial Intelligence (AI). This dichotomy consists of two sides, namely Crypto …

In recent years, periocular recognition has been developed as a valuable biometric
identification approach, especially in wild environments (for example, masked faces due to …

Biometric authentication has been reported to be one of the most emerging research fields
and its attainments are inseparable from the aid of a heterogeneity of single-modal and multi …

Facial sketches drawn by artists are widely used for visual identification applications and
mostly by law enforcement agencies, but the quality of these sketches depend on the ability …

In this paper, we propose a novel attribute-guided cross-resolution (low-resolution to high-
resolution) face recognition framework that leverages a coupled generative adversarial …

In this paper, we present a novel architecture that integrates a deep hashing framework with
a neural network decoder (NND) for application to face template protection. It improves upon …

Target detection systems identify targets by localizing their coordinates on the input image of
interest. This is ideally achieved by labeling each pixel in an image as a background or a …

Recently, biometric recognition has become a significant field of research. The concept of
cancelable biometrics (CB) has been introduced to address security concerns related to the …

Deep neural networks have presented impressive performance in biometric applications.
However, their performance is highly at risk when facing carefully crafted input samples …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …