Publications

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R. Labaca-Castro, Biggio, B., and 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, pp. 2565–2567.
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., and 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, pp. 42-52. (388.31 KB)
B. Biggio, Rieck, K., Ariu, D., Wressnegger, C., Corona, I., Giacinto, G., and 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, pp. 27-36. (375.58 KB)
B. Biggio, Didaci, L., Fumera, G., and Roli, F., “Poisoning attacks to compromise face templates”, in 6th IAPR Int'l Conf. on Biometrics (ICB), Madrid, Spain, 2013. (844.61 KB)
D. Solans, Biggio, B., and Castillo, C., “Poisoning Attacks on Algorithmic Fairness”, in ECML PKDD, In Press.
B. Biggio, Nelson, B., and Laskov, P., “Poisoning attacks against support vector machines”, in 29th Int'l Conf. on Machine Learning (ICML), 2012, pp. 1807–1814. (452.94 KB)
B. Biggio, Fumera, G., Roli, F., and Didaci, L., “Poisoning adaptive biometric systems”, in 9th Int'l Workshop on Statistical Techniques in Pattern Recognition (SPR 2012), 2012, vol. 7626, pp. 417-425. (637.79 KB)
B. Biggio, Fumera, G., and Roli, F., “Pattern Recognition Systems under Attack: Design Issues and Research Challenges”, Int'l J. Patt. Recogn. Artif. Intell., vol. 28, no. 7, p. 1460002, 2014. (1.41 MB)
F. Roli, Biggio, B., and 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, pp. 1-8. (314.35 KB)
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B. Biggio, Corona, I., He, Z. - M., Chan, P. P. K., Giacinto, G., Yeung, D. S., and Roli, F., “One-and-a-half-class Multiple Classifier Systems for Secure Learning against Evasion Attacks at Test Time”, in Int'l Workshop on Multiple Classifier Systems (MCS), 2015, vol. 9132, pp. 168-180. (467.23 KB)
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B. Biggio, Fumera, G., and Roli, F., “Multiple Classifier Systems under Attack”, in 9th Int. Workshop on Multiple Classifier Systems (MCS 2010), Cairo, Egypt, 2010, vol. 5997, pp. 74–83. (231.42 KB)
B. Biggio, Fumera, G., and Roli, F., “Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments”, Journal of Machine Learning and Cybernetics, vol. 1, pp. 27–41, 2010. (844.91 KB)
B. Biggio, Fumera, G., and Roli, F., “Multiple Classifier Systems for Adversarial Classification Tasks”, in 8th Int. Workshop on Multiple Classifier Systems (MCS 2009), Reykjavik, Iceland, 2009, vol. 5519, pp. 132-141. (459.88 KB)
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. Nelson, Biggio, B., and 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, pp. 63-79. (481.46 KB)
M. Jagielski, Oprea, A., Biggio, B., Liu, C., Nita-Rotaru, C., and 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, pp. 1-2. (138.98 KB)
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B. Biggio, Fumera, G., and 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, pp. 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, pp. 1-2. (110.67 KB)
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A. Demontis, Biggio, B., Fumera, G., Giacinto, G., and Roli, F., “Infinity-norm Support Vector Machines against Adversarial Label Contamination”, 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pp. 106-115, 2017. (504.93 KB)
B. Biggio, Fumera, G., Pillai, I., and 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., and Roli, F., “Image Spam Filtering Using Visual Information”, in 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), Modena, Italy, 2007, pp. 105–110. (173.32 KB)
G. Fumera, Pillai, I., Roli, F., and Biggio, B., “Image spam filtering using textual and visual information”, in MIT Spam Conference 2007, Cambridge, MA, USA, 2007. (513.42 KB)
F. Roli, Biggio, B., Fumera, G., Pillai, I., and Satta, R., “Image Spam Filtering by Detection of Adversarial Obfuscated Text”, in NIPS Workshop on Machine Learning in Adversarial Environments for Computer Security, Whistler, British Columbia, Canada, 2007. (361.97 KB)
B. Biggio, Fumera, G., Pillai, I., and Roli, F., “Image Spam Filtering by Content Obscuring Detection”, in Fourth Conference on Email and Anti-Spam (CEAS 2007), Microsoft Research Silicon Valley, Mountain View, California, 2007. (486.14 KB)

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