Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs

• 主要な著者: Xiaoqing Chen (著者), Ziwei Wang (著者), Dongrui Wu (著者)
• フォーマット: 図書
• 出版事項: IEEE, 2024-01-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Machine learning has achieved great success in electroencephalogram (EEG) based brain-computer interfaces (BCIs). Most existing BCI studies focused on improving the decoding accuracy, with only a few considering the adversarial security. Although many adversarial defense approaches have been propose...