Publications

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D. Ariu, Didaci, L., Fumera, G., Frumento, E., Freschi, F., and Giacinto, G., Yet Another Cybersecurity Roadmapping Methodology, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (1.34 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, In Press. (3.61 MB)
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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)
G. L. Marcialis, Didaci, L., Pisano, A., Granger, E., and Roli, F., Why template self-update should work in biometric authentication systems?, in Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on, Montreal, QC, 2012.
D. M. Freeman, Jain, S., Duermuth, M., Biggio, B., and Giacinto, G., Who Are You? A Statistical Approach to Measuring User Authenticity, in Proc. 23rd Annual Network & Distributed System Security Symposium (NDSS), 2016. (764.14 KB)
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P. Coli, Vitality detection in personal authentication systems using fingerprints, Cagliari (Italy), 2008.
P. Coli, Marcialis, G. L., and Roli, F., Vitality detection from fingerprint images: a critical survey, in 2nd International Conference on Biometrics ICB 2007, Seoul (South Korea), 2007, vol. 4642, pp. 722-731.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker, in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pp. 192-202. (533.82 KB)
G. L. Marcialis, Roli, F., Andronico, P., Multineddu, P., Coli, P., and Delogu, G., Video Biometric Surveillance and Forensic Image Analysis, in First Workshop on Video Surveillance projects in Italy (VISIT 2008), Modena (Italy), 2008.
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M. Ahmed, Didaci, L., Fumera, G., Roli, F., and Lavi, B., Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation, Theoretical and Applied Informatics, In Press.
L. Didaci and Roli, F., Using Co-training and Self-training in Semi-Supervised Multiple Classifier Systems, in Statistical Techniques in Pattern Recognition, Hong Kong, China, 2006.
L. Piras, Furcas, D., and Giacinto, G., User-driven Nearest-Neighbour Exploration of Image Archives, in 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2015, pp. 181 - 189. (376.55 KB)
R. Satta and Stirparo, P., On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts, in 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014), Lisbon, Portugal, 2014. (340.78 KB)
G. Giacinto, Roli, F., and Fumera, G., Unsupervised Learning of Neural Network Ensembles for Image Classification, in IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 2000, vol. III, pp. 155-159.
C. Cusano, Satta, R., and Santini, S., Unsupervised Classemes, in 2012 ECCV Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR 2012), Firenze (Italy), 2012. (259.36 KB)
B. Nelson, Biggio, B., and Laskov, P., Understanding the Risk Factors of Learning in Adversarial Environments, in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pp. 87–92. (132.42 KB)
L. Piras and Giacinto, G., Unbalanced learning in Content-Based Image Classification and Retrieval, in IEEE International Conference on Multimedia & Expo (ICME), Singapore, 2010. (177.33 KB)
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G. Fumera, Pillai, I., and Roli, F., A Two-Stage Classifier with Reject Option for Text Categorisation, in 5th Int. Workshop on Statistical Techniques in Pattern Recognition (SPR 2004), Lisbon, Portugal, 2004, vol. 3138, pp. 771-779. (151.61 KB)
J. - M. Xu, Fumera, G., Roli, F., and Zhou, Z. - H., Training SpamAssassin with Active Semi-supervised Learning, in 6th Conference on Email and Anti-Spam (CEAS 2009), Mountain View, CA, USA, 2009.
L. Muñoz-González, Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., and Roli, F., Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization, in 10th ACM Workshop on Artificial Intelligence and Security, 2017, pp. 27-38.
R. Wong, Poh, N., and Marcialis, G. L., Toward an attack-sensitive tamper-resistant biometric recognition with a symmetric matcher: A fingerprint case study, in IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), Dec., 9-11, 2014, Orlando (Florida), 2014, pp. 175-180. (1.32 MB)
I. Pillai, Fumera, G., and Roli, F., Threshold optimisation for multi-label classifiers, Pattern Recognition, vol. 46, no. 7, 2013. (445.97 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)
G. Giacinto and Roli, F., A theoretical framework for dynamic classifier selection, in 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, vol. 2, pp. 8-11.
L. Didaci, Marcialis, G. L., and Roli, F., A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008.

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