POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI
Adversarial examples, which are carefully crafted inputs designed to deceive deep learning models, create significant challenges in Artificial Intelligence. While adversarial examples have primarily focused on digital-world attacks, recent research has proposed adversarial patches as the focus expan...
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| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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IEEE
2025-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/10942364/ |
| Etiketak: |
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