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Book Chapter
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.
F. Roli and Giacinto, G., Design of Multiple Classifier Systems, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.
G. L. Foresti, Giacinto, G., and Roli, F., Detecting Dangerous Behaviors of Mobile Objects in Parking Areas, in Multisensor Surveillance Systems: The Fusion Perspective, R. G. L. C. Foresti and Varshney, P. Kluwer Academic Publishers, 2003, pp. 199-211.
D. Maiorca, Ariu, D., Corona, I., and Giacinto, G., An Evasion Resilient Approach to the Detection of Malicious PDF Files, in Information Systems Security and Privacy (Communication in Computer and Information Science), vol. 576, Springer, 2015, pp. 68-85. (503.11 KB)
R. Tronci, Murgia, G., Pili, M., Piras, L., and Giacinto, G., ImageHunter: a Novel Tool for Relevance Feedback in Content Based Image Retrieval, in New Challenges in Distributed Information Filtering and Retrieval. DART 2011: Revised and Invited Papers, C. Lai, Semeraro, G., and Vargiu, E. Springer, 2013. (1.98 MB)
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.
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.
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.
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.
F. Roli and Giacinto, G., Pattern Recognition for Intrusion Detection in Computer Networks, in Pattern Recognition and String Matching, D. Chen and Cheng, X. Kluwer Academic Publishers, 2002.
B. Biggio, Corona, I., Nelson, B., Rubinstein, B. I. P., Maiorca, D., Fumera, G., Giacinto, G., and Roli, F., Security Evaluation of Support Vector Machines in Adversarial Environments, in Support Vector Machines Applications, Y. Ma and Guo, G. Springer International Publishing, 2014, pp. 105-153. (687.1 KB)
Conference Paper
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)
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.
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)
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 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.
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)
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.
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.
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.