Claudio Piciarelli

Supervised Anomaly Detection with Highly Imbalanced Datasets Using Capsule Networks

2021 · International Journal of Pattern Recognition and Artificial Intelligence

Detecting anomalous patterns in data is a relevant task in many practical applications, such as defective items detection in industrial inspection systems, cancer identification in medical images, or attacker detection in network intrusion detection systems. …

Deep Learning-Based Intrusion Detection Systems for Phishing Email Detection: A Short Survey

2025

Phishing remains a prevalent and evolving threat within the cybersecurity landscape, exploiting human vulnerabilities through deceptive email content. This survey presents a focused review of deep learning-based intrusion detection systems (IDSs) tailored to phishing email …