Publications

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Book Chapter
L. Didaci, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
G. L. Marcialis, Fumera, G., and Biggio, B., Anti-spoofing: Multimodal, in Encyclopedia of Biometrics, S. Z. Li and Jain, A. K. Springer US, 2014, pp. 1-4.
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., 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., 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)
M. Villegas, Müller, H., Gilbert, A., Piras, L., Wang, J., Mikolajczyk, K., de Herrera, A. García Se, Bromuri, S., M. Amin, A., Mohammed, M. Kazi, Acar, B., Uskudarli, S., Marvasti, N. B., Aldana, J. F., and García, Mdel Mar Ro, General Overview of ImageCLEF at CLEF2015 Labs, in Lecture Notes in Computer Science, Springer International Publishing, 2015. (786.29 KB) (705 bytes)
M. Villegas, Müller, H., de Herrera, A. García Se, Schaer, R., Bromuri, S., Gilbert, A., Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Puigcerver, K. Mikolajczy, Toselli, A. H., Sánchez, J. - A., and Vidal, E., General Overview of ImageCLEF at the CLEF 2016 Labs, in Lecture Notes in Computer Science, Springer International Publishing, 2016. (1.07 MB)
G. L. Marcialis, Roli, F., and Serrau, A., Graph-Based and Structural Methods for Fingerprint Classification, in Applied Graph Theory in Computer Vision and Pattern Recognition, A. Kandel, Bunke, H., and Last, M. Springer, 2007, pp. 205-226.
G. Fumera, Marcialis, G. L., Biggio, B., Roli, F., and Schuckers, S. C., Multimodal Anti-Spoofing in Biometric Recognition Systems, in Handbook of Biometric Anti-Spoofing, S. Marcel, Nixon, M., and Li, S. Z. Springer, 2014, pp. 165-184. (155.83 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)
Conference Paper
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., and Roli, F., Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 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., 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)
R. Satta, Galbally, J., and Beslay, L., Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information, in 22nd IEEE International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 2014. (272.46 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)
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., and Roli, F., Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid, in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 751-759. (3.16 MB)
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., and Roli, F., Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid, in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 751-759. (3.16 MB)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., and Roli, F., Deepsquatting: Learning-based Typosquatting Detection at Deeper Domain Levels, in 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017, vol. 10640 of LNCS, pp. 347-358. (1.21 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)
F. Crecchi, Bacciu, D., and Biggio, B., Detecting Adversarial Examples through Nonlinear Dimensionality Reduction, in ESANN '19, In Press.
F. Crecchi, Bacciu, D., and Biggio, B., Detecting Adversarial Examples through Nonlinear Dimensionality Reduction, in ESANN '19, In Press.
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., and Giacinto, G., Detecting Misuse of Google Cloud Messaging in Android Badware, in 6th Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM), Vienna, Austria, 2016, pp. 103-112. (626.38 KB)

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