Adversarial attacks and defenses in deep learning
The adversarial example is a modified image that is added imperceptible perturbations, which can make deep neural networks decide wrongly. The adversarial examples seriously threaten the availability of the system and bring great security risks to the system. Therefore, the representative adversari...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
POSTS&TELECOM PRESS Co., LTD
2020-10-01
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| シリーズ: | 网络与信息安全学报 |
| 主題: | |
| オンライン･アクセス: | http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2020071 |
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