Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. - Angelica Liguori; Simone Mungari; Marco Zuppelli; Carmela Comito; Enrico Cambiaso; Matteo Repetto; Massimo Guarascio 001; Luca Caviglione; Giuseppe Manco 001 (Ital-IA, 2023)

Siamese Network for Fake Item Detection. - Erica Coppolillo; Daniela Gallo; Angelica Liguori; Simone Mungari; Ettore Ritacco; Giuseppe Manco 001 (SEBD, 2023)

Neuro-Symbolic techniques for Predictive Maintenance. - Angelica Liguori; Simone Mungari; Ettore Ritacco; Francesco Ricca; Giuseppe Manco 001; Salvatore Iiritano (SEBD, 2023)

A Deep Anomaly Detection System for IoT-Based Smart Buildings. - Simona Cicero; Massimo Guarascio 001; Antonio Guerrieri; Simone Mungari (Sensors, 2023)

A Deep Neural Framework for Fault Detection in IoT-Based Sensor Networks. - Simona Cicero; Massimo Guarascio 001; Antonio Guerrieri; Simone Mungari; Andrea Vinci (ASONAM (Workshops), 2024)

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. - Luca Caviglione; Carmela Comito; Erica Coppolillo; Daniela Gallo; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Minici; Simone Mungari; Francesco Sergio Pisani; Ettore Ritacco; Antonino Rullo; et al. (Ital-IA, 2024)

GenRec: A Flexible Data Generator for Recommendations. - Erica Coppolillo; Simone Mungari; Ettore Ritacco; Giuseppe Manco 001 (CoRR, 2024)

Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences. - Erica Coppolillo; Simone Mungari; Ettore Ritacco; Francesco Fabbri; Marco Minici; Francesco Bonchi; Giuseppe Manco 001 (Inf. Process. Manag., 2025)