Publications

Export 420 results:
2019
C. Gurrin, Schoeffmann, K., Joho, H., Leibetseder, A., Zhou, L., Duane, A., Dang-Nguyen, D. - T., Riegler, M., Piras, L., Tran, M. - T., Lokoč, J., e Hürst, W., «Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)», ITE Transactions on Media Technology and Applications, vol 7, pagg 46-59, 2019. (4.7 MB)
D. Maiorca e Biggio, B., «Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware», IEEE Security and Privacy: Special Issue on Digital Forensics, vol 17, n° 1, pagg 63-71, 2019. (838.95 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)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., e Armando, A., «Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries», in 3rd Italian Conference on Cyber Security, ITASEC 2019, Pisa, Italy, 2019, vol 2315.
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., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., e Roli, F., «Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks», in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019, vol 28th {USENIX} Security Symposium ({USENIX} Security 19), pag 321--338. (1.09 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)
In Press
A. Carcangiu, Spano, L. Davide, Fumera, G., e Roli, F., «DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model», International Journal of Human-Computer Studies, In Press.
F. Crecchi, Bacciu, D., e Biggio, B., «Detecting Adversarial Examples through Nonlinear Dimensionality Reduction», in ESANN '19, In Press.
W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., e Roli, F., «Diversified Sensitivity based Undersampling for Imbalance Classification Problems», IEEE Transactions on Cybernetics, In Press. (1.91 MB)
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., e 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)
R. Soleymani, Granger, E., e Fumera, G., «Loss Factors for Learning Boosting Ensembles from Imbalanced Data», in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, In Press.
B. Lavi, Fumera, G., e Roli, F., «A Multi-Stage Ranking Approach for Fast Person Re-Identification», IET Computer Vision, In Press. (1.07 MB)
Y. Guan, Li, C. - T., e Roli, F., «On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method», IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. (311.43 KB) (151.4 KB)
M. Ahmed, Didaci, L., Fumera, G., Roli, F., e Lavi, B., «Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation», Theoretical and Applied Informatics, In Press.

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