secml: A Python Library for Secure and Explainable Machine Learning

Demontis Ambra
Demontis Ambra
Pintor Maura
Pintor Maura
Sotgiu Angelo
Sotgiu Angelo
Cited by: 0|Views13

Abstract:

We present secml, an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including not only test-time evasion attacks to generate adversarial examples against deep neural networks, but also training-time poisoning attacks against support vector machines...More

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