Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Despite having completely different configurations deep learning architectures learn a
specific set of features that are common across architectures. For example the initial few …

Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing
face images derived from multiple data subjects (eg, accomplices and malicious actors) …

Face recognition algorithms have demonstrated very high recognition performance,
suggesting suitability for real world applications. Despite the enhanced accuracies …

Manipulated images and videos have become increasingly realistic due to the tremendous
progress of deep convolutional neural networks (CNNs). While technically intriguing, such …

Recent years have witnessed significant advances in AI-based face manipulation
techniques, known as DeepFakes, which has brought severe threats to society. Hence, an …

With the increasing use of biometrics in Internet of Things (IoT)-based applications, it is
essential to ensure that biometric-based authentication systems are secure. Biometric …

The detection of deepfake images and videos is a critical concern in social communication
due to the widespread utilization of deepfake techniques. The prevalence of these methods …