Publications

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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)
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.
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.
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 and Roli, F., Methods for Dynamic Classifier Selection, in 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999, pp. 659-664.
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.
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)
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)
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.
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.
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)
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I. Corona, Maiorca, D., Ariu, D., and Giacinto, G., Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References, in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottdale, Arizona, USA, 2014. (455.14 KB)
D. Maiorca, Corona, I., and Giacinto, G., Looking at the Bag is not Enough to Find the Bomb: an Evasion of Structural Methods for Malicious PDF Files Detection, in 8th ACM Symposium on Information, Computer and Communications Security (ASIACCS 2013), Hangzhou, China, 2013. (2.12 MB)
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L. Piras and Giacinto, G., K-Nearest Neighbors Directed Synthetic Images Injection, in 11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Desenzano del Garda, Italy, 2010. (167.12 KB)
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D. Ariu, Corona, I., Giacinto, G., Perdisci, R., and Roli, F., Intrusion Detection Systems based on anomaly detection techniques, in Italian Workshop on Privacy and Security (PRISE), Rome, 2007.
I. Corona, Giacinto, G., and Roli, F., Intrusion Detection in Computer Systems using Multiple Classifer Systems, in Supervised and Unsupervised Ensemble Methods and Their Applications, O. Okun and G. Valentini., Springer-Verlag, Berlin/Heidelberg, 2008, pp. 91-114.
I. Corona, Giacinto, G., and Roli, F., Intrusion detection in computer systems as a pattern recognition task in adversarial environment: a critical review, in Workshop on Neural Information Processing Systems (NIPS), Whistler, British Columbia, Canada, 2007.
G. Giacinto and Roli, F., Intrusion Detection in Computer Networks by Multiple Classifier Systems, in 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, 2002, vol. II, pp. 390-393.
G. Giacinto, Perdisci, R., Del Rio, M., and Roli, F., Intrusion detection in computer networks by a modular ensemble of one-class classifiers, Information Fusion, vol. 9, 2008.
G. Giacinto and Roli, F., Instance-Based Relevance Feedback in Image Retrieval using Dissimilarity Spaces, in Case-Based Reasoning for signals and images, P. Perner Springer, 2007.
G. Giacinto and Roli, F., Instance-Based Relevance Feedback for Image Retrieval, in Advances in Neural Information Processing Systems (NIPS) 17, 2005, pp. 489-496.
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)
I. Corona, Giacinto, G., Mazzariello, C., Roli, F., and Sansone, C., Information fusion for computer security: State of the art and open issues, Information Fusion, vol. 10, pp. 274-284, 2009.
R. Tronci, Giacinto, G., and Roli, F., Index Driven Combination of Multiple Biometric Experts for AUC Maximisation, in 7th International Workshop on Multiple Classifiers Systems MCS 2007, Prague (Czech Republic), 2007, vol. 4472, pp. 357-366.
R. Tronci, Murgia, G., Pili, M., Piras, L., and Giacinto, G., ImageHunter: a novel tool for Relevance Feedback in Content Based Image Retrieval, in 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval (DART), Palermo, Italy, 2011. (1.31 MB)

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