Adversarial catoptric light: An effective, stealthy and robust physical‐world attack to DNNs
Abstract Recent studies have demonstrated that finely tuned deep neural networks (DNNs) are susceptible to adversarial attacks. Conventional physical attacks employ stickers as perturbations, achieving robust adversarial effects but compromising stealthiness. Recent innovations utilise light beams,...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2024-08-01
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| Col·lecció: | IET Computer Vision |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1049/cvi2.12264 |
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