Publications

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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)
B. Lavi, Fumera, G., and Roli, F., “Multi-Stage Ranking Approach for Fast Person Re-Identification”, IET Computer Vision, vol. 12, no. 4, p. 7, 2018. (1.07 MB)
2017
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)
2016
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.
2015
D. Ariu, Corona, I., Tronci, R., and Giacinto, G., “Machine Learning in Security Applications”, Trans. Mach. Learn. Data Min., vol. 8, pp. 3-39, 2015.
C. Ruiz, Arroyo, S., Krsteski, I., Dago, P., Sanchez, J., Perez-Freire, L., De Rosa, A., Fontani, M., Costanzo, A., Piva, A., Ariu, D., Piras, L., Ahumada, R., and Jerian, M., “The maven project: Management and Authenticity Verification of multimedia contents”, in Multimedia Expo Workshops (ICMEW), 2015 IEEE International Conference on, 2015, pp. 1-4. (194.87 KB)
F. Pala, Satta, R., Fumera, G., and Roli, F., “Multi-modal Person Re-Identification Using RGB-D Cameras”, IEEE Transactions on Circuits and Systems for Video Technology, 2015. (1.58 MB) (29.9 KB)
D. - T. Dang-Nguyen, Boato, G., De Natale, F. G. B., Piras, L., Giacinto, G., Tuveri, F., and Angioni, M., “Multimodal-based Diversified Summarization in Social Image Retrieval”, in Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015., 2015. (755.79 KB)
C. Di Ruberto, Loddo, A., and Putzu, L., “A multiple classifier learning by sampling system for white blood cells segmentation”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9257, pp. 415 – 425, 2015.
2014
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)
2013
I. Pillai, Fumera, G., and Roli, F., “Multi-label classification with a reject option”, Pattern Recognition, vol. 46, no. 8, 2013. (280.71 KB)
A. Rattani, Marcialis, G. L., and Roli, F., “A multi-modal dataset, protocol and tools for adaptive biometric systems: A benchmarking study”, International Journal of Biometrics, vol. 5, no. 3/4, 2013. (968.88 KB)
G. L. Marcialis, Roli, F., and Didaci, L., “Multimodal fingerprint verification by score-level fusion: an experimental investigation”, Journal of Intelligent and Fuzzy Systems, vol. 24, 2013.
2011
D. Ariu, Giacinto, G., and Roli, F., “Machine Learning in Computer Forensics (and the Lessons Learned from Machine Learning in Computer Security)”, in AISec 2011: 4th ACM Workshop on Artificial Intelligence and Security, Chicago, IL, USA, 2011. (379.05 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)
D. Ariu and Giacinto, G., “A modular architecture for the analysis of HTTP payloads based on Multiple Classifiers”, in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, Italy, 2011. (244.9 KB)
R. Satta, Fumera, G., Roli, F., Cristani, M., and Murino, V., “A Multiple Component Matching Framework for Person Re-Identification”, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (519.85 KB)
2010
G. Giacinto, “Moving Targets - When Data Classes Depend on Subjective Judgement, or They Are Crafted by an Adversary to Mislead Pattern Analysis Algorithms - The Cases of Content Based Image Retrieval and Adversarial Classification”, in Advances in Data Mining. Applications and Theoretical Aspects, vol. LNCS 6171, P. Perner Springer-Verlag, 2010, pp. 1-16.
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 under Attack”, in 9th Int. Workshop on Multiple Classifier Systems (MCS 2010), Cairo, Egypt, 2010, vol. 5997, pp. 74–83. (231.42 KB)
2009
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., and Lee, W., “McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection”, Computer Networks, vol. 53, pp. 864-881, 2009. (882.94 KB)
L. Didaci, Marcialis, G. L., and Roli, F., “Modelling FRR of biometric verification systems using the template co-update algorithm”, in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol. 5558, pp. 765-774.
J. Atli Benediktsson, Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 5519. Reykjavik, Iceland: Springer, 2009, p. 540.

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