Publications

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2016
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness against Obfuscation”, Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY 2016, 09-11 March, 2016). 2016. (726.65 KB)
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation”, Horst Görtz Institut for IT Security (Ruhr-University Bochum), Technical Report TR-HGI-2016-003, 2016. (519.16 KB)
C. Di Ruberto and Putzu, L., A Feature Learning Framework for Histology Images Classification. 2016, pp. 37 – 48.
M. Villegas, Müller, H., de Herrera, A. García Se, Schaer, R., Bromuri, S., Gilbert, A., Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Puigcerver, K. Mikolajczy, Toselli, A. H., Sánchez, J. - A., and Vidal, E., “General Overview of ImageCLEF at the CLEF 2016 Labs”, in Lecture Notes in Computer Science, Springer International Publishing, 2016. (1.07 MB)
I. Rida, Jiang, X., and Marcialis, G. L., “Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition”, IEEE Signal Processing Letters, vol. 23, no. 1, 2016. (692.14 KB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Gurrin, C., Boato, G., and Halvorsen, P., “ImageCLEF 2017 LifeLog task”, in Challenges in Machine Learning: Gaming and Education (CiML - NIPS 2016 workshop), Barcelona, Spain, 2016. (80.25 KB)
C. Di Ruberto, Loddo, A., and Putzu, L., “A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling”, Machine Vision and Applications, vol. 27, pp. 1151 – 1160, 2016.
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, 2016. (435.44 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)
A. Crobe, Demuru, M., Didaci, L., Marcialis, G. L., and Fraschini, M., “Minimum spanning tree and K-Core decomposition as measure of subject-specific EEG traits”, Biomedical Physics and Engineering Express, vol. 1, no. 2, p. 017001, 2016. (802.39 KB)
L. Putzu, Di Ruberto, C., and Fenu, G., “A mobile application for leaf detection in complex background using saliency maps”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10016 LNCS, pp. 570 – 581, 2016.
M. Ahmadi, Ulyanov, D., Semenov, S., Trofimov, M., and Giacinto, G., “Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification”, in Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016, pp. 183–194. (6.49 MB)
A. Gilbert, Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Villegas, M., and Mikolajczyk, K., “Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task”, in CLEF2016, 2016. (2.47 MB)
A. Loddo, Di Ruberto, C., and Putzu, L., “Peripheral blood image analysis”, in VISIGRAPP 2016 - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Doctoral Consortium, 2016, pp. 15 – 23.
M. Contini, Corona, I., Mulas, A., Giacinto, G., and Ariu, D., “Pharmaguard WebApp: an application for the detection of illegal online pharmacies”, 2nd International Workshop on Knowledge Discovery on the WEB (KDWEB). Cagliari, 2016. (120.57 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)
J. Galbally and Satta, R., “Three-dimensional and two-and-a-half- dimensional face recognition spoofing using three-dimensional printed models”, IET Biometrics, vol. 5, no. 2, 2016. (1.33 MB)
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
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)
C. Di Ruberto and Putzu, L., “Accurate blood cells segmentation through intuitionistic fuzzy set threshold”, in Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014, 2015, pp. 57 – 64.
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)

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