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L. Bruzzone, Roli, F., and Serpico, S. B., “An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 1318-1321, 1995.
L. Bruzzone, Conese, C., Maselli, F., and Roli, F., “Multisource classification of complex rural areas by statistical and neural-network approaches”, Int. Journal on Photogrammetric Engineering and Remote Sensing (PE&RS), vol. 63, pp. 523-533, 1997.
L. Borzacchiello, Coppa, E., Maiorca, D., Columbu, A., Demetrescu, C., and Giacinto, G., “Reach Me if You Can: On Native Vulnerability Reachability in Android Apps”, 27th European Symposium on Research in Computer Security (ESORICS). 2022. (979.51 KB)
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)
B. Biggio, Corona, I., He, Z. - M., Chan, P. P. K., Giacinto, G., Yeung, D. S., and Roli, F., “One-and-a-half-class Multiple Classifier Systems for Secure Learning against Evasion Attacks at Test Time”, in Int'l Workshop on Multiple Classifier Systems (MCS), 2015, vol. 9132, pp. 168-180. (467.23 KB)
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, Corona, I., Fumera, G., Giacinto, G., and Roli, F., “Bagging classifiers for fighting poisoning attacks in adversarial classification tasks”, in Multiple Classifier Systems (MCS 2011), 2011, vol. 6713, pp. 350-359. (231.43 KB)
B. Biggio, Fumera, G., and Roli, F., “Bayesian Analysis of Linear Combiners”, in 7th Int. Workshop on Multiple Classifier Systems (MCS 2007), Prague, Czech Republic, 2007, vol. 4472, pp. 292-301. (149.24 KB)
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., and Roli, F., “Poisoning complete-linkage hierarchical clustering”, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition (LNCS), Joensuu, Finland, 2014, vol. 8621, pp. 42-52. (388.31 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)
B. Biggio, Fumera, G., and Roli, F., “Multiple Classifier Systems under Attack”, in 9th Int. Workshop on Multiple Classifier Systems (MCS 2010), Cairo, Egypt, 2010, vol. 5997, pp. 74–83. (231.42 KB)
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F., “Security of pattern recognition systems in adversarial environments”. 2012. (235.41 KB)
B. Biggio, Melis, M., Fumera, G., and Roli, F., “Sparse Support Faces”, in Int'l Conf. on Biometrics (ICB), 2015, pp. 208-213. (702.84 KB)
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)
B. Biggio, Fumera, G., Roli, F., and Didaci, L., “Poisoning adaptive biometric systems”, in 9th Int'l Workshop on Statistical Techniques in Pattern Recognition (SPR 2012), 2012, vol. 7626, pp. 417-425. (637.79 KB)
B. Biggio, Fumera, G., Pillai, I., and Roli, F., “Improving Image Spam Filtering Using Image Text Features”, in Fifth Conference on Email and Anti-Spam (CEAS 2008), Mountain View, CA, USA, 2008. (154.27 KB)
B. Biggio, Corona, I., Nelson, B., Rubinstein, B. I. P., Maiorca, D., Fumera, G., Giacinto, G., and Roli, F., “Security Evaluation of Support Vector Machines in Adversarial Environments”, in Support Vector Machines Applications, Y. Ma and Guo, G. Springer International Publishing, 2014, pp. 105-153. (687.1 KB)
B. Biggio, “Machine Learning under Attack: Vulnerability Exploitation and Security Measures (Invited Keynote at IH&MMSec '16)”, in 4th ACM Workshop on Information Hiding & Multimedia Security, Vigo, Spain, 2016, pp. 1-2. (138.98 KB)
B. Biggio, Nelson, B., and Laskov, P., “Support Vector Machines Under Adversarial Label Noise”, in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol. 20, pp. 97-112. (533.74 KB)
B. Biggio, “Adversarial Pattern Classification”, University of Cagliari, Cagliari (Italy), 2010. (2.65 MB)
B. Biggio, “On Learning and Recognition of Secure Patterns (Invited keynote at AISec '14)”, in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottsdale, Arizona, USA, 2014, pp. 1-2. (110.67 KB)
B. Biggio, Fumera, G., and Roli, F., “Evade Hard Multiple Classifier Systems”, in Supervised and Unsupervised Ensemble Methods and Their Applications, vol. 245, O. Okun and Valentini, G. Springer Berlin / Heidelberg, 2009, pp. 15-38. (562.89 KB)
B. Biggio, Nelson, B., and Laskov, P., “Poisoning attacks against support vector machines”, in 29th Int'l Conf. on Machine Learning (ICML), 2012, pp. 1807–1814. (452.94 KB)
B. Biggio, Fumera, G., and Roli, F., “Evade Hard Multiple Classifier Systems”, in Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA 2008), Patras, Greece, 2008. (185.01 KB)
B. Biggio, Pillai, I., Rota Bulò, S., Ariu, D., Pelillo, M., and Roli, F., “Is Data Clustering in Adversarial Settings Secure?”, in AISec'13: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Berlin, 2013, pp. 87-98. (300.52 KB)

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