A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability (2018)

Abstract

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Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1812.08342

Publication URI: https://arxiv.org/abs/1812.08342

Type: Preprint