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...
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | |
| Format: | Thesis |
| Sprog: | English |
| Udgivet: |
2020
|
| Fag: |