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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jianfeng, Qiu, Kai, Wang, Pengju, Su, Caixia, Fan, Yufeng, Cao, Yongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

Ejemplares similares