Enhancing EEG Signal Classifier Robustness Against Adversarial Attacks Using a Generative Adversarial Network Approach
Author:
Affiliation:
1. University of Kasdi Merbah,Algeria
2. Univetsité Amar Telidji de Laghouat,Algeria
3. United Arab Emirates University,UAE
Funder
United Arab Emirates University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8548628/10517481/10517483.pdf?arnumber=10517483
Reference15 articles.
1. Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications
2. EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm
3. EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
4. Robust Detection of Adversarial Attacks for EEG-based Motor Imagery Classification using Hierarchical Deep Learning
5. On the Vulnerability of CNN Classifiers in EEG-Based BCIs
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