Journal Article
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F.,
“Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection”,
IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019.
(3.61 MB) A. Fanni, Giacinto, G., Marchesi, M., and Serri, A.,
“Tabu search coupled with deterministic strategies for the optimal design of MRI devices”,
Int. J. of Applied Electromagnetics and Mechanics, vol. 10, pp. 21-31, 1999.
L. Didaci, Giacinto, G., Roli, F., and Marcialis, G. L.,
“A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation”,
Pattern Recognition, vol. 38, pp. 2188-2191, 2005.
D. Maiorca, Ariu, D., Corona, I., Aresu, M., and Giacinto, G.,
“Stealth Attacks: An Extended Insight into the Obfuscation Effects on Android Malware”,
Computers And Security (Elsevier), vol. 51 (June), pp. 16-31, 2015.
(413.99 KB) R. Perdisci, Ariu, D., and Giacinto, G.,
“Scalable Fine-Grained Behavioral Clustering of HTTP-Based Malware”,
Computer Networks - Special Issue on Botnet Activity: Analysis, Detection and Shutdown, vol. 57, pp. 487-500, 2013.
(797.8 KB) R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., and Lee, W.,
“McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection”,
Computer Networks, vol. 53, pp. 864-881, 2009.
(882.94 KB) D. Ariu, Corona, I., Tronci, R., and Giacinto, G.,
“Machine Learning in Security Applications”,
Trans. Mach. Learn. Data Min., vol. 8, pp. 3-39, 2015.
G. Giacinto, Perdisci, R., Del Rio, M., and Roli, F.,
“Intrusion detection in computer networks by a modular ensemble of one-class classifiers”,
Information Fusion, vol. 9, 2008.
I. Corona, Giacinto, G., Mazzariello, C., Roli, F., and Sansone, C.,
“Information fusion for computer security: State of the art and open issues”,
Information Fusion, vol. 10, pp. 274-284, 2009.
F. Cara, Scalas, M., Giacinto, G., and Maiorca, D.,
“On the Feasibility of Adversarial Sample Creation Using the Android System API”,
Information, no. 11(9): 433, 2020.
(1.26 MB) M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G.,
“On the Effectiveness of System API-Related Information for Android Ransomware Detection”,
Computers and Security, vol. 86, pp. 162-182, 2019.
(706.92 KB) M. Melis, Scalas, M., Demontis, A., Maiorca, D., Biggio, B., Giacinto, G., and Roli, F.,
“Do Gradient-Based Explanations Tell Anything About Adversarial Robustness to Android Malware?”,
International Journal of Machine Learning and Cybernetics, vol. 13, pp. 217-232, 2022.
(1.2 MB)