Adversarial vulnerabilities of human decision-making

Proceedings of the National Academy of Sciences of the United States of America, pp. 29221-29228, 2020.

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Abstract:

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 models of choice processes, we propose a g...More

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