Efficient text-based evolution algorithm to hard-label adversarial attacks on text
Deep neural networks that play a pivotal role in fields such as images, text, and audio are vulnerable to adversarial attacks. In current textual adversarial attacks, the vast majority are configured with a black-box soft-label which is achieved by the gradient information or confidence of the model...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2023-05-01
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| Col·lecció: | Journal of King Saud University: Computer and Information Sciences |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S131915782300085X |
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