Face morphing attack detection (MAD) is one of the most challenging tasks in the field of
face recognition nowadays. In this work, we introduce a novel deep learning strategy for a …

Recently, the Face Morphing Attack has emerged as a serious and concrete security threat,
and then several Morphing Attack Detectors (MADs) have been proposed in the literature …

A face morph is created by strategically combining two or more face images corresponding
to multiple identities. The intention is for the morphed image to match with multiple identities …

Morphing Attack, ie the elusion of face verification systems through a facial morphing
operation between a criminal and an accomplice, has recently emerged as a serious …

Morphing attack is an important security threat for automatic face recognition systems. High-
quality morphed images, ie images without significant visual artifacts such as ghosts, noise …

Face morphing, a sophisticated presentation attack technique, poses significant security
risks to face recognition systems. Traditional methods struggle to detect morphing attacks …

Due to the importance of the Morphing Attack, the development of new and accurate
Morphing Attack Detection (MAD) systems is urgently needed by private and public …

When milliards of smart devices are connected to the Internet using the Internet of Things
(IoT), robust security methods are required to deliver current information to the objects …

Face Recognition Systems (FRS) are vulnerable to various attacks performed directly and
indirectly. Among these attacks, face morphing attacks are highly potential in deceiving …

Scenarios in which restrictions in data transfer and storage limit the possibility to compose a
single dataset–also exploiting different data sources–to perform a batch-based training …