Publications

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Journal Article
Y. Guan, Li, C. - T., and Roli, F., On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. (311.43 KB) (151.4 KB)
G. Fumera, Roli, F., and Giacinto, G., Reject Option with Multiple Thresholds, Pattern Recognition, vol. 33, pp. 2099-2101, 2000.
L. Ghiani, Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., and Schuckers, S. A., Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015, Image and Vision Computing, p. -, 2016.
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., and Roli, F., Security evaluation of biometric authentication systems under real spoofing attacks, IET Biometrics, vol. 1, no. 1, pp. 11-24, 2012. (3.21 MB)
B. Biggio, Fumera, G., and Roli, F., Security evaluation of pattern classifiers under attack, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 4, pp. 984-996, 2014. (1.35 MB)
G. Giacinto, Roli, F., and Fumera, G., Selection of image classifiers, Electronics Letters, vol. 36, pp. 420-422, 2000.
G. Fumera, Pillai, I., and Roli, F., Spam filtering based on the analysis of text information embedded into images, Journal of Machine Learning Research (special issue on Machine Learning in Computer Security), vol. 7, pp. 2699-2720, 2006.
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F., Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, pp. 561-575, 2017. (5.7 MB)
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.
A. Demontis, Melis, M., Biggio, B., Fumera, G., and Roli, F., Super-sparse Learning in Similarity Spaces, IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 36-45, 2016. (555.22 KB)
P. Pellegretti, Roli, F., Serpico, S. B., and Vernazza, G., Supervised learning of descriptions for image recognition purposes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 92-98, 1994.
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., and Roli, F., Support Vector Machines under Adversarial Label Contamination, Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol. 160, pp. 53-62, 2015. (2.8 MB)
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)
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)
I. Pillai, Fumera, G., and Roli, F., Threshold optimisation for multi-label classifiers, Pattern Recognition, vol. 46, no. 7, 2013. (445.97 KB)
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)

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