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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)
H. Xiao, Biggio, B., Brown, G., Fumera, G., Eckert, C., e Roli, F., «Is Feature Selection Secure against Training Data Poisoning?», in 32nd Int'l Conf. on Machine Learning (ICML) - JMLR W&CP, 2015, vol 32, pagg 1689-1698. (1.54 MB)
Y. Yao, Marcialis, G. L., Pontil, M., Frasconi, P., e Roli, F., «A New Machine Learning Approach to Fingerprint Classification», in 7mo Congresso dell’Associazione Italiana per l’Intelligenza Artificiale, Bari (Italy), 2001, vol 2175, pagg 57-63.
B. Biggio, Rota Bulò, S., Pillai, I., Mura, M., Zemene Mequanint, E., Pelillo, M., e Roli, F., «Poisoning complete-linkage hierarchical clustering», in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition (LNCS), Joensuu, Finland, 2014, vol 8621, pagg 42-52. (388.31 KB)
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., e Roli, F., «Support Vector Machines under Adversarial Label Contamination», Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol 160, pagg 53-62, 2015. (2.8 MB)