Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
Analyzes the existing method of detecting adversarial attacks on deep neural networks, proposed by researchers from Carnegie Mellon University and the Korean Institute of Advanced Technologies (KAIST) Ko, G. and Lim, G in 2021. Examines adversarial attacks, as well as the history of research on the...
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| Главные авторы: | , , , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Springer Science and Business Media Deutschland GmbH
2024
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| Темы: | |
| Online-ссылка: | https://dspace.ncfu.ru/handle/123456789/29181 |
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