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 …

Recently, researchers found that the intended generalizability of (deep) face recognition
systems increases their vulnerability against attacks. In particular, the attacks based on …

The outbreak of digital devices on the Internet, the exponential diffusion of data (images,
video, audio, and text), along with their manipulation/generation also by artificial intelligence …

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 …

Tampered digital multimedia content has been increasingly used in a wide set of
cyberattacks, challenging criminal investigations and law enforcement authorities. The …

Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …

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

Locating manipulation maps, ie, pixel-level annotation of forgery cues, is crucial for
providing interpretable detection results in face forgery detection. Related learning objects …

Face morphing attack is proved to be a serious threat to the existing face recognition
systems. Although a few face morphing detection methods have been put forward, the face …

Currently, the use of biometric identification, automated or semiautomated, is a reality. For
this reason, the number of attacks has increased in such systems. One of the most common …