Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. - Francesco Scicchitano; Angelica Liguori; Massimo Guarascio 001; Ettore Ritacco; Giuseppe Manco 001 (ISMIS, 2020)

A Deep Learning Approach for Detecting Security Attacks on Blockchain. - Francesco Scicchitano; Angelica Liguori; Massimo Guarascio 001; Ettore Ritacco; Giuseppe Manco 001 (ITASEC, 2020)

Exploiting Temporal Convolution for Activity Prediction in Process Analytics. - Francesco Folino; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Luigi Pontieri; Ettore Ritacco (PKDD/ECML Workshops, 2020)

Adversarial Regularized Reconstruction for Anomaly Detection and Generation. - Angelica Liguori; Giuseppe Manco 001; Francesco Sergio Pisani; Ettore Ritacco (ICDM, 2021)

A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). - Angelica Liguori; Giuseppe Manco 001; Ettore Ritacco; Massimilano Ruffolo; Salvatore Iiritano (SEBD, 2021)

Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. - Erica Coppolillo; Angelica Liguori; Massimo Guarascio 001; Francesco Sergio Pisani; Giuseppe Manco 001 (CyberSec4Europe, 2022)

Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Marco Zuppelli (ISMIS, 2022)

Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Giuseppe Surace; Marco Zuppelli (PerSOM, 2022)

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)

Towards Self-Supervised Cross-Domain Fake News Detection. - Carmela Comito; Francesco Sergio Pisani; Erica Coppolillo; Angelica Liguori; Massimo Guarascio 001; Giuseppe Manco 001 (ITASEC, 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 federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Zuppelli (Soc. Netw. Anal. Min., 2023)

No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. - Marco Zuppelli; Massimo Guarascio 001; Luca Caviglione; Angelica Liguori (ARES, 2024)

Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. - Carmela Comito; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Francesco Sergio Pisani (DS (2), 2024)

Siamese Networks for Unsupervised Failure Detection in Smart Industry. - Angelica Liguori; Ettore Ritacco; Giuseppe Benvenuto; Salvatore Iiritano; Giuseppe Manco 001; Massimiliano Ruffolo (ISMIS, 2024)

Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. - Angelica Liguori; Marco Zuppelli; Daniela Gallo; Massimo Guarascio 001; Luca Caviglione (ISMIS, 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)

CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. - Daniela Gallo; Angelica Liguori; Ettore Ritacco; Luca Caviglione; Fabrizio Durante; Giuseppe Manco 001 (CoRR, 2024)

Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Marco Zuppelli (J. Intell. Inf. Syst., 2024)

Robust anomaly detection via adversarial counterfactual generation. - Angelica Liguori; Ettore Ritacco; Francesco Sergio Pisani; Giuseppe Manco 001 (Knowl. Inf. Syst., 2024)

Analysis and Detection of Android Stegomalware: the Impact of the Loading Stage. - Diego Soi; Silvia Lucia Sanna; Giacomo Benedetti; Angelica Liguori; Leonardo Regano; Luca Caviglione; Giorgio Giacinto (IH&MMSec, 2025)

On the Feasibility of Android Stegomalware: A Detection Study. - Diego Soi; Silvia Lucia Sanna; Angelica Liguori; Marco Zuppelli; Leonardo Regano; Davide Maiorca; Luca Caviglione; Giuseppe Manco 001; Giorgio Giacinto (ITASEC/SERICS, 2025)

Modeling events and interactions through temporal processes: A survey. - Angelica Liguori; Luciano Caroprese; Marco Minici; Bruno Veloso; Francesco Spinnato; Mirco Nanni; Giuseppe Manco 001; João Gama 001 (Neurocomputing, 2025)

Breaking domain barriers: mixture of experts for cross-domain fake news detection. - Angelica Liguori; Francesco Sergio Pisani; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001 (Mach. Learn., 2025)