Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

With technological advances, the generation of deepfake material is now within reach of
those operating consumer-grade hardware. As a result, much research has been …

Face recognition systems have significantly advanced in recent years, driven by the
availability of large-scale datasets. However, several issues have recently came up …

This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …

Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen and …

Media forensics has attracted a tremendous attention in the last years in part due to the
increasing concerns around DeepFakes. Since the release of the initial DeepFakes …

Despite the widespread adoption of face recognition technology around the world, and its
remarkable performance on current benchmarks, there are still several challenges that must …

ECGs have shown unique patterns to distinguish between different subjects and present
important advantages compared to other biometric traits. However, the lack of public data …

Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …

The broad usage of mobile devices nowadays, the sensitiveness of the information
contained in them, and the shortcomings of current mobile user authentication methods are …