AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack

arXiv: Cryptography and Security, Volume abs/1611.04786, 2016.

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Abstract:

We present AdversariaLib, an open-source python library for the security evaluation of machine learning (ML) against carefully-targeted attacks. It supports the implementation of several attacks proposed thus far in the literature of adversarial learning, allows for the evaluation of a wide range of ML algorithms, runs on multiple platfor...More

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