47 citations · 84 across the 10 of their papers we have counts for
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cs.LG2019★ 10 cited
secml: A Python Library for Secure and Explainable Machine Learning
Maura Pintor, Luca Demetrio, Angelo Sotgiu +3
We present \texttt{secml}, an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including tes…
cs.CV2019
Deep Neural Rejection against Adversarial Examples
Angelo Sotgiu, Ambra Demontis, Marco Melis +4
Despite the impressive performances reported by deep neural networks in different application domains, they remain largely vulnerable to adversarial examples, i.e., input samples t…