Improving the Robustness of Model Compression by On-Manifold Adversarial Training
Despite the advance in deep learning technology, assuring the robustness of deep neural networks (DNNs) is challenging and necessary in safety-critical environments, including automobiles, IoT devices in smart factories, and medical devices, to name a few. Furthermore, recent developments allow us t...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2021-11-01
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| Серии: | Future Internet |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1999-5903/13/12/300 |
| Метки: |
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