400 citations · 1.6k across the 69 of their papers we have counts for
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Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Xiaoqing Chen, Dongrui Wu
Machine learning has achieved great success in electroencephalogram (EEG) based brain-computer interfaces (BCIs). Most existing BCI research focused on improving its accuracy, but…
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Lubin Meng, Jian Huang, Zhigang Zeng +6
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adopti…
White-Box Target Attack for EEG-Based BCI Regression Problems
Lubin Meng, Chin-Teng Lin, Tzyy-Ring Jung +1
Machine learning has achieved great success in many applications, including electroencephalogram (EEG) based brain-computer interfaces (BCIs). Unfortunately, many machine learning…
Protecting Privacy of Users in Brain-Computer Interface Applications
Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney +4
Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference. Among the most in…