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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)
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.
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)
In Press
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., and Cavallaro, L., DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware, in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)