Securing Brain-to-Brain Communication Channels Using Adversarial Training on SSVEP EEG

Securing Brain-to-Brain Communication Channels Using Adversarial Training on SSVEP EEG

In this study, we investigate the effects of Adversarial Neural Network Training (ANNT) on the robustness and effectiveness of Brain-to-Brain Communication (B2B-C) systems using Steady-State Visually Evoked Potentials (SSVEP) EEG data. We utilized a combined Convolutional Neural Network-Temporal Con...

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Bibliographic Details
Main Authors: Hossein Ahmadi, Ali Kuhestani, Mohammadreza Keshavarzi, Luca Mesin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adversarial neural network training
brain-to-brain communication
electroencephalogram
adversarial attacks
neuro-engineering
security enhancement
Online Access:https://ieeexplore.ieee.org/document/10847297/
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