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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20507
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dc.contributor.authorZhang, Xiao-
dc.contributor.authorWu, Dongrui-
dc.contributor.authorDing, Lieyun-
dc.contributor.authorLuo, Hanbin-
dc.contributor.authorLin, Chin-Teng-
dc.contributor.authorJung, Tzyy-Ping-
dc.contributor.authorChavarriaga, Ricardo-
dc.date.accessioned2020-09-17T13:06:45Z-
dc.date.available2020-09-17T13:06:45Z-
dc.date.issued2020-01-30-
dc.identifier.issn2095-5138de_CH
dc.identifier.issn2053-714Xde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20507-
dc.description.abstractAn electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused on making EEG-based BCI spellers faster and more reliable; however, few have considered their security. This study, for the first time, shows that P300 and steady-state visual evoked potential BCI spellers are very vulnerable, i.e., they can be severely attacked by adversarial perturbations, which are too tiny to be noticed when added to EEG signals, but can mislead the spellers to spell anything the attacker wants. The consequence could range from merely user frustration to severe misdiagnosis in clinical applications. We hope our research can attract more attention to the security of EEG-based BCI spellers, and more broadly, EEG-based BCIs, which has received little attention before.de_CH
dc.language.isoende_CH
dc.publisherOxford University Pressde_CH
dc.relation.ispartofNational Science Reviewde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectHuman-Computer Interactionde_CH
dc.subjectComputer Sciencede_CH
dc.subjectLearningde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleTiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellersde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1093/nsr/nwaa233de_CH
dc.identifier.doi10.21256/zhaw-20507-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Zhang, X., Wu, D., Ding, L., Luo, H., Lin, C.-T., Jung, T.-P., & Chavarriaga, R. (2020). Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers. National Science Review. https://doi.org/10.1093/nsr/nwaa233
Zhang, X. et al. (2020) ‘Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers’, National Science Review [Preprint]. Available at: https://doi.org/10.1093/nsr/nwaa233.
X. Zhang et al., “Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers,” National Science Review, Jan. 2020, doi: 10.1093/nsr/nwaa233.
ZHANG, Xiao, Dongrui WU, Lieyun DING, Hanbin LUO, Chin-Teng LIN, Tzyy-Ping JUNG und Ricardo CHAVARRIAGA, 2020. Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers. National Science Review. 30 Januar 2020. DOI 10.1093/nsr/nwaa233
Zhang, Xiao, Dongrui Wu, Lieyun Ding, Hanbin Luo, Chin-Teng Lin, Tzyy-Ping Jung, and Ricardo Chavarriaga. 2020. “Tiny Noise, Big Mistakes : Adversarial Perturbations Induce Errors in Brain-Computer Interface Spellers.” National Science Review, January. https://doi.org/10.1093/nsr/nwaa233.
Zhang, Xiao, et al. “Tiny Noise, Big Mistakes : Adversarial Perturbations Induce Errors in Brain-Computer Interface Spellers.” National Science Review, Jan. 2020, https://doi.org/10.1093/nsr/nwaa233.


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