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 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 …

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 …

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

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

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

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

Visual content has become the primary source of information, as evident in the billions of
images and videos, shared and uploaded every single day. This has led to an increase in …

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