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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| Natura: | Tesi |
| Lingua: | English |
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2020
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