Robustness evaluation of deep neural networks with provable guarantees

Robustness evaluation of deep neural networks with provable guarantees

<p>This thesis presents methodologies to guarantee the robustness of deep neural networks, thus facilitating the deployment of deep learning techniques in safety-critical real-world systems. We study the maximum safe radius of a network with respect to an input, such that all the points within...

書目詳細資料
主要作者:	Wu, M
其他作者:	Kwiatkowska, M
格式:	Thesis
語言:	English
出版:	2020
主題:	Artificial Intelligence Computer Science

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