4 citations · 4 across the 5 of their papers we have counts for
5 papers
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
Felipe Castaño, Eduardo Fidalgo, Enrique Alegre +3
Phishing attacks pose a significant cybersecurity threat, evolving rapidly to bypass detection mechanisms and exploit human vulnerabilities. This paper introduces PhishKey to addre…
Overcoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation
Waqar Tanveer, Laura Fernández-Robles, Eduardo Fidalgo +2
Facial age estimation has achieved considerable success under controlled conditions. However, in unconstrained real-world scenarios, which are often referred to as 'in the wild', a…
Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery
Christopher Gaul, Eduardo Fidalgo, Enrique Alegre +2
Accurate automatic screening of minors in unconstrained images requires models robust to distribution shift and resilient to the under-representation of children in public datasets…
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
Andrés Carofilis, Laura Fernández-Robles, Enrique Alegre +1
A recent trend in speech processing is the use of embeddings created through machine learning models trained on a specific task with large datasets. By leveraging the knowledge alr…
State of the Art: Content-based and Hybrid Phishing Detection
F. Castaño, E. Fidalgo, E. Alegre +2
Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, foo…