The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Continuous authentication has been proposed as a possible approach for passive and
seamless user authentication, using sensor data comprising biometric, behavioral, and …

Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

We present a novel deep-learning-based approach for one-class transfer learning in which
labeled data from an unrelated task is used for feature learning in one-class classification …

Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-
aware as sensing, networking, and processing capabilities advance. These devices provide …

We present a novel convolutional neural network (CNN) based approach for one-class
classification. The idea is to use a zero centered Gaussian noise in the latent space as the …

This paper offers an up-to-date, comprehensive, extensive and targeted survey on
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …

By focusing on immersive interaction among users, the burgeoning Metaverse can be
viewed as a natural extension of existing social media. Similar to traditional online social …

The increasing use of smartphones as personal computing platforms to access personal
information has stressed the demand for secure and usable authentication techniques, and …

Recent research has shown the possibility of using smartphones' sensors and accessories
to extract some behavioral attributes such as touch dynamics, keystroke dynamics and gait …