Publications

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Journal Article
B. Biggio, Fumera, G., Pillai, I., and Roli, F., A survey and experimental evaluation of image spam filtering techniques, Pattern Recognition Letters, vol. 32, pp. 1436 - 1446, 2011. (2.12 MB)
L. Piras and Giacinto, G., Synthetic Pattern Generation for Imbalanced Learning in Image Retrieval, Pattern Recognition Letters, vol. 33, p. 7, 2012. (236.64 KB)
E. Costamagna, Fanni, A., and Giacinto, G., A Tabu Search algorithm for the optimisation of telecommunication networks, European Journal of Operational Research, vol. 106, pp. 357-372, 1998.
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.
G. Fumera, Roli, F., and Serrau, A., A Theoretical Analysis of Bagging as a Linear Combination of Classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1293-1299, 2008. (895.49 KB)
G. Fumera and Roli, F., A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, pp. 942-956, 2005. (887.92 KB)
J. Galbally and Satta, R., Three-dimensional and two-and-a-half- dimensional face recognition spoofing using three-dimensional printed models, IET Biometrics, vol. 5, no. 2, 2016. (1.33 MB)
I. Pillai, Fumera, G., and Roli, F., Threshold optimisation for multi-label classifiers, Pattern Recognition, vol. 46, no. 7, 2013. (445.97 KB)
D. Maiorca, Biggio, B., and Giacinto, G., Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks, ACM Computing Surveys, vol. 52, no. 4, 2019. (1.21 MB)
M. Ahmed, Didaci, L., Fumera, G., Roli, F., and Lavi, B., Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation, Theoretical and Applied Informatics, vol. 29, no. 1&2, pp. 25-39, 2017.
B. Biggio and Roli, F., Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning, Pattern Recognition, vol. 84, pp. 317-331, 2018. (3.76 MB)
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)
Magazine Article
B. Biggio, Fumera, G., Pillai, I., Roli, F., and Satta, R., Evading SpamAssassin with obfuscated text images, Virus Bulletin, no. 11-2007, 2007. (689 KB)
Report
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and 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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