Deep Learning (DL) is the most efficient technique to handle a wide range of challenging
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …

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 …

Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …

Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

Face recognition has been successfully deployed in real-time applications, including secure
applications such as border control. The vulnerability of face recognition systems (FRSs) to …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

Generation Z is a data‐driven generation. Everyone has the entirety of humanity's
knowledge in their hands. The technological possibilities are endless. However, we use and …

The main question this work aims at answering is:" can morphing attack detection (MAD)
solutions be successfully developed based on synthetic data?". Towards that, this work …

The vulnerability of facial recognition systems to face morphing attacks is well known. Many
different approaches for morphing attack detection (MAD) have been proposed in the …

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite
the number of advancements reported in recent works, we note serious open issues such as …