Publications

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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., Pillai, I., Roli, F., and Satta, R., Evading SpamAssassin with obfuscated text images, Virus Bulletin, no. 11-2007, 2007. (689 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, 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)
D
D. Maiorca and Biggio, B., Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware, IEEE Security and Privacy: Special Issue on Digital Forensics, vol. 17, no. 1, pp. 63-71, 2019. (838.95 KB)
D. Maiorca, Russu, P., Corona, I., Biggio, B., and Giacinto, G., Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis, in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol. 1816, pp. 96-105. (371.53 KB)
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)
F. Crecchi, Bacciu, D., and Biggio, B., Detecting Adversarial Examples through Nonlinear Dimensionality Reduction, in ESANN '19, In Press.
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)
I. Corona, Biggio, B., Contini, M., Piras, L., Corda, R., Mereu, M., Mureddu, G., Ariu, D., and Roli, F., DeltaPhish: Detecting Phishing Webpages in Compromised Websites, 22nd European Symposium on Research in Computer Security (ESORICS), vol. 10492. Springer International Publishing, Norway, September 11-15, 2017, pp. 370–388, 2017. (4.13 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)
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)
G. Ennas, Biggio, B., and Di Guardo, M. Chiara, Data-driven Journal Meta-ranking in Business and Management, Scientometrics, pp. 1-19, 2015. (896.37 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
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 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)
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)
A
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., 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, Adversarial Pattern Classification, University of Cagliari, Cagliari (Italy), 2010. (2.65 MB)
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)
F. Zhang, Chan, P. P. K., Biggio, B., Yeung, D. S., and Roli, F., Adversarial Feature Selection Against Evasion Attacks, IEEE Transactions on Cybernetics, vol. 46, no. 3, pp. 766-777, 2016. (2.12 MB)
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)

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