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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...
Autores principales: | Dezfouli, Amir, Nock, Richard, Dayan, Peter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
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 |
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