Review of Research on Adversarial Attack in Three Kinds of Images
In recent years, there have been numerous breakthroughs in deep learning, leading to the expansion of applications based on deep learning into a wide range of fields. However, due to the vulnerability of deep neural networks, they are highly susceptible to threats from adversarial samples, posing si...
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| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-12-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2404001.pdf |
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