Adversarial vulnerabilities of human decision-making

Adversarial examples are carefully crafted input patterns that are surprisingly poorly classified by artificial and/or natural neural networks. Here we examine adversarial vulnerabilities in the processes responsible for learning and choice in humans. Building upon recent recurrent neural network mo...

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Detalles Bibliográficos
Autores principales: Dezfouli, Amir, Nock, Richard, Dayan, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682379/
https://www.ncbi.nlm.nih.gov/pubmed/33148802
http://dx.doi.org/10.1073/pnas.2016921117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682379/
https://www.ncbi.nlm.nih.gov/pubmed/33148802
http://dx.doi.org/10.1073/pnas.2016921117

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