Publications

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2017
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)
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)
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)
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)
2021
G. Malandrone, Virdis, G., Maiorca, D., and Giacinto, G., “PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis”, 5th Italian Conference on CyberSecurity (ITASEC). 2021. (982.03 KB)
2022
M. Melis, Scalas, M., Demontis, A., Maiorca, D., Biggio, B., Giacinto, G., and Roli, F., “Do Gradient-Based Explanations Tell Anything About Adversarial Robustness to Android Malware?”, International Journal of Machine Learning and Cybernetics, vol. 13, pp. 217-232, 2022. (1.2 MB)
F. Meloni, Sanna, A., Maiorca, D., and 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). pp. 42-52, 2022. (328.32 KB)
A. Janovsky, Maiorca, D., Marko, D., Matyas, V., and Giacinto, G., “A Longitudinal Study of Cryptographic API: A Decade of Android Malware”, 19th International Conference on Security and Cryptography (SECRYPT). pp. 121-133, 2022. (251.06 KB)
L. Borzacchiello, Coppa, E., Maiorca, D., Columbu, A., Demetrescu, C., and 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)

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