Massimo Guarascio

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Anomaly Detection

Active Learning

Top Venues

Soc. Netw. Anal. Min.

Publications

Marco Zuppelli, Massimo Guarascio, Luca Caviglione, Angelica Liguori
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. ARES (2024)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. SN Comput. Sci. 5 (5) (2024)
Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. ISMIS (2024)
Irfanullah Khan, Flávia Coimbra Delicato, Emilio Greco, Massimo Guarascio, Antonio Guerrieri, Giandomenico Spezzano
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning. DASC/PiCom/CBDCom/CyberSciTech (2023)
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program. 23 (4) (2023)
Simona Cicero, Massimo Guarascio, Antonio Guerrieri, Simone Mungari
A Deep Anomaly Detection System for IoT-Based Smart Buildings. Sensors 23 (23) (2023)
Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco
Towards Self-Supervised Cross-Domain Fake News Detection. ITASEC (2023)
Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
An Explainable Deep Ensemble Framework for Intelligent Ticket Management. ERCIM News 2023 (134) (2023)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min. 13 (1) (2023)
Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Ital-IA (2023)
Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA (2023)
Erica Coppolillo, Massimo Guarascio, Marco Minici, Francesco Sergio Pisani
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. IDEAS (2023)
Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). SEBD (2023)
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. CoRR (2023)
Paolo Zicari, Massimo Guarascio, Luigi Pontieri, Gianluigi Folino
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora. ICEIS (1) (2023)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13 (3) (2022)
Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Francesco Sergio Pisani, Giuseppe Manco
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. CyberSec4Europe (2022)