Journal Article
L. Demetrio, Coull, S. E., Biggio, B., Lagorio, G., Armando, A., e Roli, F.,
«Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection»,
ACM Trans. Priv. Secur., vol 24, 2021.
F. Zhang, Chan, P. P. K., Biggio, B., Yeung, D. S., e Roli, F.,
«Adversarial Feature Selection Against Evasion Attacks»,
IEEE Transactions on Cybernetics, vol 46, n° 3, pagg 766-777, 2016.
(2.12 MB) Y. Yao, Marcialis, G. L., Pontil, M., Frasconi, P., e Roli, F.,
«Combining Flat and Structural Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machine»,
Pattern Recognition, vol 36, pagg 397-406, 2003.
A. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., e Roli, F.,
«Deep Neural Rejection against Adversarial Examples»,
EURASIP Journal on Information Security, vol 5, 2020.
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, vol 122, pag 20, 2019.
(1.69 MB) 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) 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) P. Temple, Perrouin, G., Acher, M., Biggio, B., Jézéquel, J. - M., e Roli, F.,
«Empirical Assessment of Generating Adversarial Configurations for Software Product Lines»,
Empirical Software Engineering, vol 26, n° 6, 2021.
(1.29 MB)