22
https://pubmed.ncbi.nlm.nih.gov/38113159
The study presents a novel approach for attacking convolutional neural network (CNN) classifiers in motor imagery brain-computer interfaces (MIBCI) using perturbations in the frequency domain, achieving higher success rates than existing methods in a black-box scenario.
