Publications

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Filters: Author is Maura Pintor  [Clear All Filters]
2019
M. Melis, Demontis, A., Pintor, M., Sotgiu, A., and Biggio, B., secml: A Python Library for Secure and Explainable Machine Learning. 2019. (1.1 MB)
A. Demontis, Melis, M., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., and 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), p. 321--338. (1.09 MB)