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B
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.
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)
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)
B. Biggio, Fumera, G., and Roli, F., Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments, Journal of Machine Learning and Cybernetics, vol. 1, pp. 27–41, 2010. (844.91 KB)
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., and 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, Fumera, G., Pillai, I., and 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, Rieck, K., Ariu, D., Wressnegger, C., Corona, I., Giacinto, G., and 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, pp. 27-36. (375.58 KB)
B. Biggio, Fumera, G., and Roli, F., Bayesian Linear Combination of Neural Networks, in Innovations in Neural Information Paradigms and Applications, vol. 247, M. Bianchini, Maggini, M., Scarselli, F., and Jain, L. C. Springer Berlin / Heidelberg, 2009, pp. 201-230. (435.32 KB)
B. Biggio, Fumera, G., and 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, pp. 325 -330. (336.11 KB)
B. Biggio, Fumera, G., and 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, Corona, I., Maiorca, D., Nelson, B., Srndic, N., Laskov, P., Giacinto, G., and Roli, F., Evasion attacks against machine learning at test time, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2013, vol. 8190, pp. 387-402. (473.78 KB)
B. Biggio, Fumera, G., Russu, P., Didaci, L., and Roli, F., Adversarial Biometric Recognition: A Review on Biometric System Security from the Adversarial Machine Learning Perspective, IEEE Signal Processing Magazine, vol. 32, no. 5, pp. 31-41, 2015. (751.08 KB)
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)
B. Biggio, Fumera, G., and Roli, F., Design of Robust Classifiers for Adversarial Environments, in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pp. 977–982. (328.68 KB)
B. Biggio, Fumera, G., Pillai, I., and Roli, F., Image Spam Filtering Using Visual Information, in 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), Modena, Italy, 2007, pp. 105–110. (173.32 KB)
B. Biggio, Fumera, G., and Roli, F., Pattern Recognition Systems under Attack: Design Issues and Research Challenges, Int'l J. Patt. Recogn. Artif. Intell., vol. 28, no. 7, p. 1460002, 2014. (1.41 MB)
B. Biggio, Didaci, L., Fumera, G., and 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, Fumera, G., and Roli, F., Multiple Classifier Systems for Adversarial Classification Tasks, in 8th Int. Workshop on Multiple Classifier Systems (MCS 2009), Reykjavik, Iceland, 2009, vol. 5519, pp. 132-141. (459.88 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)

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