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...

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Detaylı Bibliyografya
Yazar: Wu, M
Diğer Yazarlar: Kwiatkowska, M
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: 2020
Konular: