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Found 6 papers, 0 papers with code
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Besides, there is neither a comprehensive review nor guidance for constructing GNNs in EEG-based emotion recognition.
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance
However, the raw EEG data is inherently noisy and redundant, which is neglected by existing works that just use single-channel EEG data or full-head channel EEG data for model training, resulting in limited performance of driver drowsiness detection.
Interpretable and Robust AI in EEG Systems: A Survey
In this paper, we present the first comprehensive survey and summarize the interpretable and robust AI techniques for EEG systems.
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
Deep image steganography is a data hiding technology that conceal data in digital images via deep neural networks.
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain
So we generalize the local optimality from the MV domain to the PMV domain.
Adversarial Rain Attack and Defensive Deraining for DNN Perception
To defend the DNNs from the negative rain effect, we also present a defensive deraining strategy, for which we design an adversarial rain augmentation that uses mixed adversarial rain layers to enhance deraining models for downstream DNN perception.
