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L. Piras e Giacinto, G., «Information Fusion in Content Based Image Retrieval: A Comprehensive Overview», Information Fusion, vol 37, pagg 50-60, 2017. (734.6 KB)
D. Maiorca, Mercaldo, F., Giacinto, G., Visaggio, A., e 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, pagg 1718-1723. (272.44 KB)
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., e Roli, F., «Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables», in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pagg 533-537. (674.62 KB)
M. Melis, Maiorca, D., Biggio, B., Giacinto, G., e Roli, F., «Explaining Black-box Android Malware Detection», in 26th European Signal Processing Conference (EUSIPCO '18), Rome, Italy, 2018, pagg 524-528. (431.78 KB)
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., e Giacinto, G., «On the Effectiveness of System API-Related Information for Android Ransomware Detection», Computers and Security, vol 86, pagg 162-182, 2019. (706.92 KB)
D. Ugarte, Maiorca, D., Cara, F., e 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, pagg 240-259, 2019. (352.39 KB)
D. Maiorca, Biggio, B., e Giacinto, G., «Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks», ACM Computing Surveys, vol 52, n° 4, 2019. (1.21 MB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, vol 16, n° 4, pagg 711-724, 2019. (3.61 MB)
G. Malandrone, Virdis, G., Maiorca, D., e Giacinto, G., «PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis», 5th Italian Conference on CyberSecurity (ITASEC). 2021. (982.03 KB)
M. Melis, Scalas, M., Demontis, A., Maiorca, D., Biggio, B., Giacinto, G., e Roli, F., «Do Gradient-Based Explanations Tell Anything About Adversarial Robustness to Android Malware?», International Journal of Machine Learning and Cybernetics, vol 13, pagg 217-232, 2022. (1.2 MB)
F. Meloni, Sanna, A., Maiorca, D., e Giacinto, G., «Extended Abstract: Effective Call Graph Fingerprinting for the Analysis and Classification of Windows Malware», 19th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA). pagg 42-52, 2022. (328.32 KB)
A. Janovsky, Maiorca, D., Marko, D., Matyas, V., e Giacinto, G., «A Longitudinal Study of Cryptographic API: A Decade of Android Malware», 19th International Conference on Security and Cryptography (SECRYPT). pagg 121-133, 2022. (251.06 KB)
L. Borzacchiello, Coppa, E., Maiorca, D., Columbu, A., Demetrescu, C., e Giacinto, G., «Reach Me if You Can: On Native Vulnerability Reachability in Android Apps», 27th European Symposium on Research in Computer Security (ESORICS). 2022. (979.51 KB)