“Just a Patch”: Imperceptible Image Patch Generation for Adversarial Inference
Image classification models, based on deep neural networks, are vulnerable to adversarial input poisoning attacks where a maliciously crafted input results in incorrect predictions. There is a critical need to explore the feasibility and impact of these attacks in classification models used in real-...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2026-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/11471748/ |
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