Publications

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2020
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)
F. Cara, Scalas, M., Giacinto, G., and Maiorca, D., “On the Feasibility of Adversarial Sample Creation Using the Android System API”, Information, no. 11(9): 433, 2020. (1.26 MB)
2019
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G., “On the Effectiveness of System API-Related Information for Android Ransomware Detection”, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
D. Ugarte, Maiorca, D., Cara, F., and Giacinto, G., “PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware”, 16th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA). Springer, Gothenburg, Sweden, pp. 240-259, 2019. (352.39 KB)
D. Maiorca, Biggio, B., and Giacinto, G., “Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks”, ACM Computing Surveys, vol. 52, no. 4, 2019. (1.21 MB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., “Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection”, IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019. (3.61 MB)
2018
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)
M. Melis, Maiorca, D., Biggio, B., Giacinto, G., and Roli, F., “Explaining Black-box Android Malware Detection”, in 26th European Signal Processing Conference (EUSIPCO '18), Rome, Italy, 2018, pp. 524-528. (431.78 KB)
L. Putzu, Piras, L., and Giacinto, G., “Ten years of Relevance Score for Content Based Image Retrieval”, in 14th International Conference Machine Learning and Data Mining (MLDM), New York, 2018, vol. 10935.
2017
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)
D. Maiorca, Russu, P., Corona, I., Biggio, B., and Giacinto, G., “Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis”, in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol. 1816, pp. 96-105. (371.53 KB)
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)
D. Maiorca, Mercaldo, F., Giacinto, G., Visaggio, A., and Martinelli, F., “R-PackDroid: API Package-Based Characterization and Detection of Mobile Ransomware”, in ACM Symposium on Applied Computing (SAC 2017 - Acceptance Rate 15.7%), 2017, pp. 1718-1723. (272.44 KB)
2016
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., and Giacinto, G., “Detecting Misuse of Google Cloud Messaging in Android Badware”, in 6th Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM), Vienna, Austria, 2016, pp. 103-112. (626.38 KB)
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness against Obfuscation”, Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY 2016, 09-11 March, 2016). 2016. (726.65 KB)
J. Hoffmann, Rytilahti, T., Maiorca, D., Winandy, M., Giacinto, G., and Holz, T., “Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation”, Horst Görtz Institut for IT Security (Ruhr-University Bochum), Technical Report TR-HGI-2016-003, 2016. (519.16 KB)
M. Ahmadi, Ulyanov, D., Semenov, S., Trofimov, M., and Giacinto, G., “Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification”, in Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016, pp. 183–194. (6.49 MB)
M. Contini, Corona, I., Mulas, A., Giacinto, G., and Ariu, D., “Pharmaguard WebApp: an application for the detection of illegal online pharmacies”, 2nd International Workshop on Knowledge Discovery on the WEB (KDWEB). Cagliari, 2016. (120.57 KB)
D. M. Freeman, Jain, S., Duermuth, M., Biggio, B., and Giacinto, G., “Who Are You? A Statistical Approach to Measuring User Authenticity”, in Proc. 23rd Annual Network & Distributed System Security Symposium (NDSS), 2016. (764.14 KB)
2015
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)
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)
M. Narouei, Ahmadi, M., Giacinto, G., Takabi, H., and Sami, A., “DLLMiner: structural mining for malware detection”, Security and Communication Networks, 2015. (731.78 KB)
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)
M. Melis, Piras, L., Biggio, B., Giacinto, G., Fumera, G., and Roli, F., “Fast Image Classification with Reduced Multiclass Support Vector Machines”, in 18th Int'l Conf. on Image Analysis and Processing, Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 78-88. (829.37 KB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., “A Hybrid Approach for Retrieving Diverse Social Images of Landmarks”, in IEEE International Conference on Multimedia & Expo (ICME), Torino, 2015. (1.16 MB)

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