Publications

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Conference Paper
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., e 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, pagg 103-112. (626.38 KB)
F. Crecchi, Bacciu, D., e Biggio, B., «Detecting Adversarial Examples through Nonlinear Dimensionality Reduction», in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN '19, 2019, pagg 483-488. (552.39 KB)
B. Biggio, Fumera, G., e Roli, F., «Design of Robust Classifiers for Adversarial Environments», in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pagg 977–982. (328.68 KB)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., e 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, pagg 347-358. (1.21 MB)
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., e 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), pagg 751-759. (3.16 MB)
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., «Bayesian Analysis of Linear Combiners», in 7th Int. Workshop on Multiple Classifier Systems (MCS 2007), Prague, Czech Republic, 2007, vol 4472, pagg 292-301. (149.24 KB)
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., «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. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., e Roli, F., «Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables», in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pagg 533-537. (674.62 KB)
Book Chapter
B. Biggio, Corona, I., Nelson, B., Rubinstein, B. I. P., Maiorca, D., Fumera, G., Giacinto, G., e Roli, F., «Security Evaluation of Support Vector Machines in Adversarial Environments», in Support Vector Machines Applications, Y. Ma e Guo, G. Springer International Publishing, 2014, pagg 105-153. (687.1 KB)
G. Fumera, Marcialis, G. L., Biggio, B., Roli, F., e Schuckers, S. C., «Multimodal Anti-Spoofing in Biometric Recognition Systems», in Handbook of Biometric Anti-Spoofing, S. Marcel, Nixon, M., e Li, S. Z. Springer, 2014, pagg 165-184. (155.83 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)
B. Biggio, Fumera, G., e Roli, F., «Bayesian Linear Combination of Neural Networks», in Innovations in Neural Information Paradigms and Applications, vol 247, M. Bianchini, Maggini, M., Scarselli, F., e Jain, L. C. Springer Berlin / Heidelberg, 2009, pagg 201-230. (435.32 KB)
G. L. Marcialis, Fumera, G., e Biggio, B., «Anti-spoofing: Multimodal», in Encyclopedia of Biometrics, S. Z. Li e Jain, A. K. Springer US, 2014, pagg 1-4.

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