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20172026
most citedWild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

148 citations · 439 across the 31 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

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…