| 2026 | Networking | When Explanations Help Attackers: XAI-Guided Adversarial Attacks to Network Intrusion Detection Systems. | Gabriele Mangiacapre, Alfredo Nascita, Francesco Cerasuolo, Antonio Montieri, Antonio Pescap |
| 2024 | GLOBECOM | Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification. | Francesco Cerasuolo, Giampaolo Bovenzi, Vincenzo Spadari, Domenico Ciuonzo, Antonio Pescap |
| 2024 | ISCC | An MLOps Framework for Explainable Network Intrusion Detection with MLflow. | Vincenzo Spadari, Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Pescap |
| 2024 | Networking | XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. | Francesco Cerasuolo, Idio Guarino, Vincenzo Spadari, Giuseppe Aceto, Antonio Pescap |
| 2022 | INFOCOM | Machine and Deep Learning Approaches for IoT Attack Classification. | Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescap |
| 2022 | ISCC | A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic. | Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescap |
| 2022 | Networking | Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning. | Lorenzo Pappone, Francesco Cerasuolo, Valerio Persico, Domenico Ciuonzo, Antonio Pescap, Flavio Esposito |
| 2012 | W2GIS | Visualization with a New Visual Metaphor for Hierarchical and Stratified Temporal Domain. | Francesco Cerasuolo, Francesco Cutugno, Vincenza Anna Leano |