Generating adversarial images to monitor the training state of a CNN model

Deep neural networks have shown effectiveness in many applications, however, in regulated applications like automotive or medicine, quality guarantees are required. Thus, it is important to understand the robustness of the solutions to perturbations in the input space. In order to identify the vulne...

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Bibliographic Details

Published in:	Current Directions in Biomedical Engineering
Main Authors:	Ding Ning, Möller Knut
Format:	Article
Language:	English
Published:	De Gruyter 2021-10-01
Subjects:	deep learning convolutional neural network adversarial attack.
Online Access:	https://doi.org/10.1515/cdbme-2021-2077