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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)
D. Ariu, Corona, I., Tronci, R., and Giacinto, G., Machine Learning in Security Applications, in Machine Learning, Software Engineering and Standardization, P. Perner ibai-publishing, 2013.
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)
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)
A. Gambardella, Giacinto, G., and Migliaccio, M., On the Mathematical Formulation of the SAR Oil-Spill Observation Problem, in IEEE International Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008, 2008, vol. 3, p. III -1382-III -1385.
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)
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)
D. Ariu, Corona, I., Giacinto, G., and Roli, F., McPAD and HMMWeb: two different approaches for the detection of attacks against Web applications, in Italian Workshop on Privacy and Security (PRISE), Rome, 2008. (309.2 KB)
G. Fumera, Roli, F., and Vernazza, G., A Method for Error Rejection in Multiple Classifier Systems, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001, pp. 454-458.
F. Roli, Giacinto, G., and Vernazza, G., Methods for Designing Multiple Classifier Systems, in 2nd Int. Workshop on Multiple Classifier Systems (MCS 2001), Cambridge, United Kingdom, 2001, vol. 2096, pp. 78-87.
G. Giacinto and Roli, F., Methods for Dynamic Classifier Selection, in 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999, pp. 659-664.
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)
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. 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.
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)
G. Giacinto, Roli, F., and Didaci, L., A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks, in 4th Int. Workshop on Multiple Classifier Systems (MCS 2003), Guildford, United Kingdom, 2003, vol. 2709, pp. 346-355.
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.
I. Pillai, Fumera, G., and Roli, F., Multi-label classification with a reject option, Pattern Recognition, vol. 46, no. 8, 2013. (280.71 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)
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.
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)
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)
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)
J. Atli Benediktsson, Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 5519. Reykjavik, Iceland: Springer, 2009, p. 540.