Publications

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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)
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G. Giacinto, Roli, F., and Fumera, G., “Adaptive Query Shifting for Content-Based Image Retrieval”, in Int. Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM’01), 2001, vol. 2123, pp. 337-346.
G. Giacinto and Roli, F., “Adaptive Selection Of Image Classifiers”, in 9th International Conference on Image Analysis and Processing, Florence, Italy, 1997, pp. 38-45.
I. Corona, Giacinto, G., and Roli, F., “Adversarial Attacks against Intrusion Detection Systems: Taxonomy, Solutions and Open Issues”, Information Sciences, vol. 239, 2013. (1.49 MB)
D. Maiorca, Demontis, A., Biggio, B., Roli, F., and Giacinto, G., “Adversarial Detection of Flash Malware: Limitations and Open Issues”, Computers & Security, vol. 96, 2020. (1.08 MB)
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 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
R. Perdisci, Giacinto, G., and Roli, F., “Alarm clustering for intrusion detection systems in computer networks”, Engineering Applications of Artificial Intelligence, vol. 19, pp. 429-438, 2006.
G. Giacinto, Perdisci, R., and Roli, F., “Alarm Clustering for Intrusion Detection Systems in Computer Networks”, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2005), Leipzig, Germany, 2005, vol. 3587, pp. 184-193.
G. Giacinto, Paolucci, R., and Roli, F., “Application of Neural Networks and Statistical Pattern Recognition Algorithms to Earthquake Risk Evaluations”, Pattern Recognition Letters, vol. 18, pp. 1353-1362, 1997.
G. Giacinto and Roli, F., “An Approach to the Automatic Design of Multiple Classifier Systems”, Pattern Recognition Letters, vol. 22, pp. 25-33, 2001.
R. Paolucci, Coli, P., and Giacinto, G., “Assessment of seismic site effects in 2-D alluvial valleys using neural networks”, Earthquake Spectra, vol. 16, pp. 661-680, 2000.
G. Giacinto and Roli, F., “Automatic Design of Multiple Classifier Systems by Unsupervised Learning”, in 1st Int. Workshop on Machine Learning and Data Mining in Pattern Recognition, 1999, vol. 1715, pp. 131-143.
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B. Biggio, Corona, I., Fumera, G., Giacinto, G., and Roli, F., “Bagging classifiers for fighting poisoning attacks in adversarial classification tasks”, in Multiple Classifier Systems (MCS 2011), 2011, vol. 6713, pp. 350-359. (231.43 KB)
G. Giacinto and Roli, F., “Bayesian Relevance Feedback for Content-Based Image Retrieval”, Pattern Recognition, vol. 37, pp. 1499-1508, 2004.
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F. Roli, Giacinto, G., and Serpico, S. B., “Classifier Fusion for Multisensor Image Recognition”, in Image and Signal Processing for Remote Sensing VI, 2001, Sebastiano B. Serpico., vol. 4170, pp. 103-110.
M. Aresu, Ariu, D., Ahmadi, M., Maiorca, D., and Giacinto, G., “Clustering Android Malware Families by Http Traffic”, in 10h International Conference on Malicious and Unwanted Software (MALCON 2015), October 20-22th 2015, Fajardo, Puerto Rico, USA, 2015. (168.36 KB)
R. Tronci, Giacinto, G., and Roli, F., “Combination of experts by classifiers in similarity score spaces”, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008, vol. 5342, pp. 821-830.
G. Giacinto, Roli, F., and Bruzzone, L., “Combination of Neural and Statistical Algorithms for Supervised Classification of Remote-Sensing Images”, Pattern Recognition Letters, vol. 21, pp. 385-397, 2000.
J. Austin, Giacinto, G., Kanellopoulos, I., Lees, K., Roli, F., Vernazza, G., and Wilkinson, G., “The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing data”, in 9th International Conference on Image Analysis and Processing, 1997, vol. 1311, pp. 765-772.
G. Giacinto, Roli, F., and Fumera, G., “Comparison and Combination of Adaptive Query Shifting and Feature Relevance Learning for Content-Based Image Retrieval”, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), Palermo, Italy, 2001, pp. 422-427.
G. Giacinto, Roli, F., and Vernazza, G., “Comparison and combination of statistical and Neural Network algorithms for remote-sensing image classification”, in Neurocomputation in Remote Sensing Data Analysis, Springer-Verlag, 1997, pp. 117-124.
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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)
G. Giacinto, Roli, F., and Fumera, G., “Design of effective multiple classifier systems by clustering of classifiers”, in 15th Int. Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, 2000, vol. 2, pp. 160-163.
G. Giacinto and Roli, F., “Design of effective neural network ensembles for image classification”, Image and Vision Computing Journal, vol. 19, pp. 697-705, 2001.
F. Roli and Giacinto, G., “Design of Multiple Classifier Systems”, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.

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