Publications

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S. Rota Bulò, Biggio, B., Pillai, I., Pelillo, M., e Roli, F., «Randomized Prediction Games for Adversarial Machine Learning», IEEE Transactions on Neural Networks and Learning Systems, vol 28, n° 11, pagg 2466-2478, 2017. (1.52 MB) (256.21 KB)
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R. Labaca-Castro, Biggio, B., e Rodosek, G. Dreo, «Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks That Preserve Functionality», in Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, New York, NY, USA, 2019, pagg 2565–2567.
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., e Roli, F., «Poisoning complete-linkage hierarchical clustering», in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition (LNCS), Joensuu, Finland, 2014, vol 8621, pagg 42-52. (388.31 KB)
B. Biggio, Rieck, K., Ariu, D., Wressnegger, C., Corona, I., Giacinto, G., e 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, pagg 27-36. (375.58 KB)
B. Biggio, Didaci, L., Fumera, G., e Roli, F., «Poisoning attacks to compromise face templates», in 6th IAPR Int'l Conf. on Biometrics (ICB), Madrid, Spain, 2013. (844.61 KB)
M. Kravchik, Biggio, B., e Shabtai, A., «Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems», in Proceedings of the 36th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2021, pagg 116–125.
D. Solans, Biggio, B., e Castillo, C., «Poisoning Attacks on Algorithmic Fairness», in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020), 2021, pag 162--177. (1.05 MB)
B. Biggio, Nelson, B., e Laskov, P., «Poisoning attacks against support vector machines», in 29th Int'l Conf. on Machine Learning (ICML), 2012, pagg 1807–1814. (452.94 KB)
B. Biggio, Fumera, G., Roli, F., e Didaci, L., «Poisoning adaptive biometric systems», in 9th Int'l Workshop on Statistical Techniques in Pattern Recognition (SPR 2012), 2012, vol 7626, pagg 417-425. (637.79 KB)
B. Biggio, Fumera, G., e Roli, F., «Pattern Recognition Systems under Attack: Design Issues and Research Challenges», Int'l J. Patt. Recogn. Artif. Intell., vol 28, n° 7, pag 1460002, 2014. (1.41 MB)
F. Roli, Biggio, B., e Fumera, G., «Pattern Recognition Systems Under Attack», in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Proc. of the 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), LNCS, Havana, Cuba, 2013, vol 8258, pagg 1-8. (314.35 KB)
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B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems under Attack», in 9th Int. Workshop on Multiple Classifier Systems (MCS 2010), Cairo, Egypt, 2010, vol 5997, pagg 74–83. (231.42 KB)
B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments», Journal of Machine Learning and Cybernetics, vol 1, pagg 27–41, 2010. (844.91 KB)
B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems for Adversarial Classification Tasks», in 8th Int. Workshop on Multiple Classifier Systems (MCS 2009), Reykjavik, Iceland, 2009, vol 5519, pagg 132-141. (459.88 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. Nelson, Biggio, B., e Laskov, P., «Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers», in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol 20, pagg 63-79. (481.46 KB)
M. Jagielski, Oprea, A., Biggio, B., Liu, C., Nita-Rotaru, C., e Li, B., «Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning», in 39th IEEE Symposium on Security and Privacy, 2018. (1.02 MB)
B. Biggio, «Machine Learning under Attack: Vulnerability Exploitation and Security Measures (Invited Keynote at IH&MMSec '16)», in 4th ACM Workshop on Information Hiding & Multimedia Security, Vigo, Spain, 2016, pagg 1-2. (138.98 KB)
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B. Biggio, Fumera, G., e 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, pagg 325 -330. (336.11 KB)
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, pagg 1-2. (110.67 KB)
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A. Demontis, Biggio, B., Fumera, G., Giacinto, G., e Roli, F., «Infinity-norm Support Vector Machines against Adversarial Label Contamination», 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pagg 106-115, 2017. (504.93 KB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «Improving Image Spam Filtering Using Image Text Features», in Fifth Conference on Email and Anti-Spam (CEAS 2008), Mountain View, CA, USA, 2008. (154.27 KB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «Image Spam Filtering Using Visual Information», in 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), Modena, Italy, 2007, pagg 105–110. (173.32 KB)
G. Fumera, Pillai, I., Roli, F., e Biggio, B., «Image spam filtering using textual and visual information», in MIT Spam Conference 2007, Cambridge, MA, USA, 2007. (513.42 KB)

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