Enhancing Robustness of EEG-based Emotion Recognition Using an Inception-based Feature Generator and Two-sided Perturbation Model

A novel deep learning approach called Inception feature generator and two-sided perturbation (INC-TSP) is proposed to extract effective features from EEG data and learn a robust model against adversarial attacks for subject-independent emotion recognition.