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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...
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| Veröffentlicht in: | Proc Natl Acad Sci U S A |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7682379/ https://ncbi.nlm.nih.gov/pubmed/33148802 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2016921117 |
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