"secml: Secure and explainable machine learning in Python."

Maura Pintor et al. (2022)

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DOI: 10.1016/J.SOFTX.2022.101095

access: open

type: Journal Article

metadata version: 2023-08-28

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Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio:
secml: Secure and explainable machine learning in Python. SoftwareX 18: 101095 (2022)

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