Publications

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Submitted
S. Raudys, Fumera, G., Raudys, A., and Roli, F., Sample size issues in trainable fusion rules and in best classifier selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Submitted.
In Press
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), In Press. (3.16 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), In Press. (1.21 MB)
W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., and Roli, F., Diversified Sensitivity based Undersampling for Imbalance Classification Problems, IEEE Transactions on Cybernetics, In Press. (1.91 MB)
Y. Guan, Li, C. - T., and Roli, F., On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. (311.43 KB) (151.4 KB)
L. Muñoz-González, Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., and Roli, F., Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization, in 10th ACM Workshop on Artificial Intelligence and Security, In Press.
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection, IEEE Trans. Dependable and Secure Computing, In Press. (3.61 MB)
2017
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)
I. Pillai, Fumera, G., and Roli, F., Designing multi-label classifiers that maximize F measures: state of the art, Pattern Recognition, vol. 61, 2017.
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F., Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, pp. 561-575, 2017. (5.7 MB)
2016
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
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)
S. Rota Bulò, Biggio, B., Pillai, I., Pelillo, M., and Roli, F., Randomized Prediction Games for Adversarial Machine Learning, IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1-13, 2016. (1.52 MB) (256.21 KB)
L. Ghiani, Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., and Schuckers, S. A., Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015, Image and Vision Computing, p. -, 2016.
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)
2015
J. Armin, Thompson, B., Kijewski, P., Ariu, D., Giacinto, G., and Roli, F., 2020 Cybercrime Economic Costs: No measure No solution, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (526.44 KB)
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)
P. Tuveri, Mura, V., Marcialis, G. L., and Roli, F., A classification-selection approach for self updating of face verification systems under stringent storage and computational requirements, in 18th IAPR Int. Conf. on Image Analysis and Processing (ICIAP), 2015, vol. 9280, pp. 540-550. (408.79 KB)
M. A. O. Ahmed, Didaci, L., Fumera, G., and Roli, F., An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles, in Multiple Classifier Systems, 2015, vol. 9132, pp. 206-219. (216.76 KB)
M. A. O. Ahmed, Didaci, L., Fumera, G., and Roli, F., An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles, in Multiple Classifier Systems, 2015, vol. 9132, pp. 206-219. (216.76 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)
V. Mura, Yambay, D., Ghiani, L., Marcialis, G. L., Schuckers, S., and Roli, F., LivDet 2015 – Fingerprint Liveness Detection Competition 2015, in 7th IEEE Int. Conference on Biometrics: Technology, Applications and Systems (BTAS 2015), 2015. (178.26 KB)

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