Robust Detection of Adversarial Attacks for EEG-based Motor Imagery Classification using Hierarchical Deep Learning-Reference-Cited by-同舟云学术

Robust Detection of Adversarial Attacks for EEG-based Motor Imagery Classification using Hierarchical Deep Learning

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Innovations in Information Technology (IIT)
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Author:

Aissa Nour El Houda Sayah Ben¹,Lakas Abderrahmane²,Korichi Ahmed¹,Kerrache Chaker Abdelaziz³,Belkacem Abdelkader Nasreddine²

Affiliation:

1. University of Kasdi Merbah,LINATI Laboratory,Department of Computer Science and Information Technology, Faculty of New Technologies of Information and Communication,Ouargla,Algeria,30000

2. United Arab Emirates University,College of Information Technology (CIT),UAE

3. Université Amar Telidji de Laghouat,Laboratoire d’Informatique et de Mathématiques,Algeria

Funder

United Arab Emirates University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366456/10366409/10366492.pdf?arnumber=10366492

Reference24 articles.

1. Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

2. Neuromagnetic Decoding of Simultaneous Bilateral Hand Movements for Multidimensional Brain–Machine Interfaces

3. Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

4. Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review

5. Explaining and harnessing adversarial examples;Goodfellow;arXiv preprint arXiv:1412.6572,2015

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