This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …

The analysis of public affairs documents is crucial for citizens as it promotes transparency,
accountability, and informed decision-making. It allows citizens to understand government …

In today's rapidly evolving technology landscape, this proposal investigates the
transformative field of human capital recruiting through the integration of Artificial …

This work introduces a new multispectral database and framework to train and evaluate
eyeblink detection in RGB and Near-Infrared (NIR). Our contributed dataset (mEBAL2 …

In the digital era, the amount of digital documents generated each day have being
increasing exponentially with the years, to a point where it is unfeasible to process them …

This article introduces the Membership Inference Test (MINT), a novel approach that aims to
empirically assess if given data was used during the training of AI/ML models. Specifically …

Images and text have become essential parts of the multimodal machine learning (MMML)
framework in today's world because data are always available, and technological …

The remarkable success of face recognition (FR) has endangered the privacy of internet
users particularly in social media. Recently, researchers turned to use adversarial examples …

We analyze various factors affecting the proper functioning of MIA and MINT two research
lines aimed at detecting data used for training. The difference between these lines lies in the …