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 …

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 …

A robust facial recognition system that has soundness and completeness is essential for
authorized control access to lawful resources. Due to the availability of modern image …

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 …

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 …

With the continuous development of deep learning in the field of image generation models, a
large number of vivid forged faces have been generated and spread on the Internet. These …

Morphing attacks are a threat to biometric systems where the biometric reference in an
identity document can be altered. This form of attack presents an important issue in …

A face morphing attack image can be verified to multiple identities, making this attack a
major vulnerability to processes based on identity verification, such as border checks …

Face recognition (FR) systems have demonstrated reliable verification performance,
suggesting suitability for real-world applications ranging from photo tagging in social media …

This paper presents a summary of the Competition on Face Morphing Attack Detection
Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 In-ternational …