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Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting them into safety-sensitive use. This work exposes an important safety issue in deep-learni...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324168/ https://www.ncbi.nlm.nih.gov/pubmed/37415186 http://dx.doi.org/10.1186/s12911-023-02212-5 |