Adversarial Neural Network Training for Secure and Robust Brain-to-Brain Communication-Reference-Cited by-同舟云学术

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Adversarial Neural Network Training for Secure and Robust Brain-to-Brain Communication

Published:2024 Issue: Volume:12 Page:39450-39469
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmadi Hossein¹^ORCID,Kuhestani Ali²^ORCID,Mesin Luca¹^ORCID

Affiliation:

1. Department of Electronics and Telecommunications, Mathematical Biology and Physiology, Politecnico di Torino, Turin, Italy

2. Communications and Electronics Department, Faculty of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10471523.pdf?arnumber=10471523

Reference50 articles.

1. Conscious Brain-to-Brain Communication in Humans Using Non-Invasive Technologies

2. Security in Brain-Computer Interfaces

3. Status of deep learning for EEG-based brain–computer interface applications

4. Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

5. Adversarial robustness benchmark for EEG-based brain–computer interfaces

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