Publications

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Journal Article
L. Ghiani, Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., e Schuckers, S. A., «Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015», Image and Vision Computing, pag -, 2016.
L. Ghiani, Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., e Schuckers, S. A., «Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015», Image and Vision Computing, pag -, 2016.
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., e Roli, F., «Security evaluation of biometric authentication systems under real spoofing attacks», IET Biometrics, vol 1, n° 1, pagg 11-24, 2012. (3.21 MB)
B. Biggio, Fumera, G., Marcialis, G. L., e Roli, F., «Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems», IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 39, n° 3, pagg 561-575, 2017. (5.7 MB)
D. Maiorca, Ariu, D., Corona, I., Aresu, M., e Giacinto, G., «Stealth Attacks: An Extended Insight into the Obfuscation Effects on Android Malware», Computers And Security (Elsevier), vol 51 (June), pagg 16-31, 2015. (413.99 KB)
L. Didaci, Giacinto, G., Roli, F., e Marcialis, G. L., «A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation», Pattern Recognition, vol 38, pagg 2188-2191, 2005.
A. Demontis, Melis, M., Biggio, B., Fumera, G., e Roli, F., «Super-sparse Learning in Similarity Spaces», IEEE Computational Intelligence Magazine, vol 11, n° 4, pagg 36-45, 2016. (555.22 KB)
A. Fanni, Giacinto, G., Marchesi, M., e Serri, A., «Tabu search coupled with deterministic strategies for the optimal design of MRI devices», Int. J. of Applied Electromagnetics and Mechanics, vol 10, pagg 21-31, 1999.
D. Maiorca, Biggio, B., e Giacinto, G., «Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks», ACM Computing Surveys, vol 52, n° 4, 2019. (1.21 MB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, vol 16, n° 4, pagg 711-724, 2019. (3.61 MB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, vol 16, n° 4, pagg 711-724, 2019. (3.61 MB)
Report
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., e Holz, T., «Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation», Horst Görtz Institut for IT Security (Ruhr-University Bochum), Technical Report TR-HGI-2016-003, 2016. (519.16 KB)

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