Protecting Privacy of Users in Brain-Computer Interface Applications

Author:

Agarwal Anisha,Dowsley Rafael,McKinney Nicholas D.ORCID,Wu DongruiORCID,Lin Chin-TengORCID,De Cock MartineORCID,Nascimento Anderson C. A.

Funder

BIU Center for Research in Applied Cryptography and Cyber Security in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office

European Research Council (ERC) through the European Union’s Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing;IEEE Internet of Things Journal;2024-01-15

2. Security Preserving Distributive n-Party Computation*;TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31

3. Affective Brain–Computer Interfaces (aBCIs): A Tutorial;Proceedings of the IEEE;2023-10

4. Selective EEG Signal Anonymization using Multi-Objective Autoencoders;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21

5. EEG‐based Affective Computing;Handbook of Human‐Machine Systems;2023-07-07

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