Publications

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G. B. Benciolini, Roli, F., e Wilkinson, G., Proceedings of the workshop "Il Telerilevamento ed i Sistemi Informativi Territoriali nella Gestione delle Risorse Ambientali". Trento, Italy: , 1994.
J. Atli Benediktsson, Kittler, J., e Roli, F., Multiple Classifier Systems, vol 5519. Reykjavik, Iceland: Springer, 2009, pag 540.
B. Biggio, Nelson, B., e Laskov, P., «Poisoning attacks against support vector machines», in 29th Int'l Conf. on Machine Learning (ICML), 2012, pagg 1807–1814. (452.94 KB)
B. Biggio, Fumera, G., Russu, P., Didaci, L., e Roli, F., «Adversarial Biometric Recognition: A Review on Biometric System Security from the Adversarial Machine Learning Perspective», IEEE Signal Processing Magazine, vol 32, n° 5, pagg 31-41, 2015. (751.08 KB)
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., e 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, pagg 42-52. (388.31 KB)
B. Biggio, «Adversarial Pattern Classification», University of Cagliari, Cagliari (Italy), 2010. (2.65 MB)
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., e Roli, F., «Robustness of multi-modal biometric verification systems under realistic spoofing attacks», in Int’l Joint Conference on Biometrics (IJCB), Washington DC, USA, 2011. (2.25 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, pagg 1-2. (110.67 KB)
B. Biggio, Didaci, L., Fumera, G., e Roli, F., «Poisoning attacks to compromise face templates», in 6th IAPR Int'l Conf. on Biometrics (ICB), Madrid, Spain, 2013. (844.61 KB)
B. Biggio, Melis, M., Fumera, G., e Roli, F., «Sparse Support Faces», in Int'l Conf. on Biometrics (ICB), 2015, pagg 208-213. (702.84 KB)
B. Biggio, Nelson, B., e 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, pagg 97-112. (533.74 KB)
B. Biggio, Fumera, G., e Roli, F., «Learning Sparse Kernel Machines with Biometric Similarity Functions for Identity Recognition», in IEEE 5th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2012), Washington DC (USA), 2012, pagg 325 -330. (336.11 KB)
B. Biggio, Fumera, G., e Roli, F., «Adversarial Pattern Classification Using Multiple Classifiers and Randomisation», in 12th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR 2008), Orlando, Florida, USA, 2008. (395.38 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, pagg 1-2. (138.98 KB)
B. Biggio, Rieck, K., Ariu, D., Wressnegger, C., Corona, I., Giacinto, G., e Roli, F., «Poisoning Behavioral Malware Clustering», in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottsdale, Arizona, USA, 2014, pagg 27-36. (375.58 KB)
B. Biggio, Fumera, G., e Roli, F., «Security evaluation of pattern classifiers under attack», IEEE Transactions on Knowledge and Data Engineering, vol 26, n° 4, pagg 984-996, 2014. (1.35 MB)
B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems for Adversarial Classification Tasks», in 8th Int. Workshop on Multiple Classifier Systems (MCS 2009), Reykjavik, Iceland, 2009, vol 5519, pagg 132-141. (459.88 KB)
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., Pillai, I., e Roli, F., «Image Spam Filtering by Content Obscuring Detection», in Fourth Conference on Email and Anti-Spam (CEAS 2007), Microsoft Research Silicon Valley, Mountain View, California, 2007. (486.14 KB)
B. Biggio e Roli, F., «Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning», Pattern Recognition, vol 84, pagg 317-331, 2018. (3.76 MB)
B. Biggio, Corona, I., Fumera, G., Giacinto, G., e Roli, F., «Bagging classifiers for fighting poisoning attacks in adversarial classification tasks», in Multiple Classifier Systems (MCS 2011), 2011, vol 6713, pagg 350-359. (231.43 KB)
B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments», Journal of Machine Learning and Cybernetics, vol 1, pagg 27–41, 2010. (844.91 KB)
B. Biggio, Pillai, I., Rota Bulò, S., Ariu, D., Pelillo, M., e 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, pagg 87-98. (300.52 KB)
B. Biggio, Fumera, G., e Roli, F., «Evade Hard Multiple Classifier Systems», in Supervised and Unsupervised Ensemble Methods and Their Applications, vol 245, O. Okun e Valentini, G. Springer Berlin / Heidelberg, 2009, pagg 15-38. (562.89 KB)

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