Robustness guarantees for deep neural networks on videos
The widespread adoption of deep learning models places demands on their robustness. In this paper, we consider the robustness of deep neural networks on videos, which comprise both the spatial features of individual frames extracted by a convolutional neural network and the temporal dynamics between...
| Main Authors: | , |
|---|---|
| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
IEEE
2020
|