Publications

Export 410 results:
In Press
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 26th European Signal Processing Conference (EUSIPCO '18), In Press. (726.7 KB)
A. Carcangiu, Spano, L. Davide, Fumera, G., and Roli, F., DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model, International Journal of Human-Computer Studies, In Press.
D. Maiorca and Biggio, B., Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware, IEEE Security and Privacy: Special Issue on Digital Forensics, In Press. (838.95 KB)
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)
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., and Cavallaro, L., DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware, in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)
M. Melis, Maiorca, D., Biggio, B., Giacinto, G., and Roli, F., Explaining Black-box Android Malware Detection, in 26th European Signal Processing Conference (EUSIPCO '18), In Press. (400.96 KB)
R. Soleymani, Granger, E., and Fumera, G., Loss Factors for Learning Boosting Ensembles from Imbalanced Data, in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, In Press.
B. Lavi, Fumera, G., and Roli, F., A Multi-Stage Ranking Approach for Fast Person Re-Identification, IET Computer Vision, In Press. (1.07 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)
M. Ahmed, Didaci, L., Fumera, G., Roli, F., and Lavi, B., Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation, Theoretical and Applied Informatics, 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)
2018
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)
R. Soleymani, Granger, E., and Fumera, G., Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification, Expert Systems With Applications, vol. 101, p. 21, 2018. (1.11 MB)
L. Putzu, Piras, L., and Giacinto, G., Ten years of Relevance Score for Content Based Image Retrieval, in 14th International Conference Machine Learning and Data Mining (MLDM), New York, 2018, vol. 10935.
2017
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)
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)
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.
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)
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.
L. Piras and Giacinto, G., Information Fusion in Content Based Image Retrieval: A Comprehensive Overview, Information Fusion, vol. 37, pp. 50-60, 2017. (734.6 KB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 13, no. 4, 2017. (5.94 MB)

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