EEG-Based Brain–Computer Interfaces are Vulnerable to Backdoor Attacks

• Main Authors: Lubin Meng (Author), Xue Jiang (Author), Jian Huang (Author), Zhigang Zeng (Author), Shan Yu (Author), Tzyy-Ping Jung (Author), Chin-Teng Lin (Author), Ricardo Chavarriaga (Author), Dongrui Wu (Author)
• Format: Book
• Published: IEEE, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adoption of sophisticated machine learning approaches for decoding the EEG signals. However, recent studies have shown that ma...