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DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model
Recent adversarial attack research reveals the vulnerability of learning-based deep learning models (DNN) against well-designed perturbations. However, most existing attack methods have inherent limitations in image quality as they rely on a relatively loose noise budget, i.e., limit the perturbatio...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947527/ https://www.ncbi.nlm.nih.gov/pubmed/36845066 http://dx.doi.org/10.3389/fnbot.2023.1129720 |