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Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems
Deep neural networks (DNNs) have been widely adopted in many fields, and they greatly promote the Internet of Health Things (IoHT) systems by mining health-related information. However, recent studies have shown the serious threat to DNN-based systems posed by adversarial attacks, which has raised w...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977516/ https://www.ncbi.nlm.nih.gov/pubmed/36875749 http://dx.doi.org/10.1155/2023/1177635 |