Publications

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2016
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)
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)
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)
P. Russu, Demontis, A., Biggio, B., Fumera, G., and Roli, F., Secure Kernel Machines against Evasion Attacks, in 9th ACM Workshop on Artificial Intelligence and Security, Vienna, Austria, 2016, pp. 59-69. (686.41 KB)
A. Demontis, Russu, P., Biggio, B., Fumera, G., and Roli, F., On Security and Sparsity of Linear Classifiers for Adversarial Settings, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition, Merida, Mexico, 2016, vol. 10029 of LNCS, pp. 322-332. (425.68 KB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., and Roli, F., Super-sparse Learning in Similarity Spaces, IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 36-45, 2016. (555.22 KB)
D. M. Freeman, Jain, S., Duermuth, M., Biggio, B., and Giacinto, G., Who Are You? A Statistical Approach to Measuring User Authenticity, in Proc. 23rd Annual Network & Distributed System Security Symposium (NDSS), 2016. (764.14 KB)
2015
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)
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)
M. Melis, Piras, L., Biggio, B., Giacinto, G., Fumera, G., and Roli, F., Fast Image Classification with Reduced Multiclass Support Vector Machines, in 18th Int'l Conf. on Image Analysis and Processing, Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 78-88. (829.37 KB)
H. Xiao, Biggio, B., Brown, G., Fumera, G., Eckert, C., and Roli, F., Is Feature Selection Secure against Training Data Poisoning?, in 32nd Int'l Conf. on Machine Learning (ICML) - JMLR W&CP, 2015, vol. 32, pp. 1689-1698. (1.54 MB)
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)
B. Biggio, Melis, M., Fumera, G., and Roli, F., Sparse Support Faces, in Int'l Conf. on Biometrics (ICB), 2015, pp. 208-213. (702.84 KB)
A. Demontis, Biggio, B., Fumera, G., and Roli, F., Super-Sparse Regression for Fast Age Estimation From Faces at Test Time, in 18th Int'l Conf. on Image Analysis and Processing (ICIAP), Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 551-562. (678.7 KB)
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., and Roli, F., Support Vector Machines under Adversarial Label Contamination, Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol. 160, pp. 53-62, 2015. (2.8 MB)
2014
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, 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)
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, 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)
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, 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, Fumera, G., and Roli, F., Security evaluation of pattern classifiers under attack, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 4, pp. 984-996, 2014. (1.35 MB)
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)
2013
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. 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)

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