Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing

Abstract 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 de...

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Bibliographic Details
Main Authors: Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
EEG
BEAMs
Deep learning model
Epilepsy
Adversarial attack
Sparse attack
Online Access:https://doi.org/10.1186/s12911-023-02212-5

Internet

https://doi.org/10.1186/s12911-023-02212-5

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