The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …

The availability of large-scale facial databases, together with the remarkable progresses of
deep learning technologies, in particular Generative Adversarial Networks (GANs), have led …

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 …

Concerns regarding the vulnerability of automatic speaker verification (ASV) technology
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …

Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

The problem of forgery detection has been well studied and the forged finger prints
produces highly impacting results in the biometric based security systems. There are many …

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 …

Detecting digital face manipulation has attracted extensive attention due to the potential
harms of fake media to the public. However, recent advances have been able to reduce the …

Automatic speaker verification systems are increasingly used as the primary means to
authenticate costumers. Recently, it has been proposed to train speaker verification systems …