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Adversarial Attacks

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Unveiling the Growing Threat of Adversarial Attacks on AI Systems

Originally Published 2 years ago — by Neuroscience News

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Source: Neuroscience News

Artificial intelligence systems are more vulnerable to adversarial attacks than previously believed, according to a study. Adversarial attacks involve manipulating data to confuse AI systems, potentially leading to incorrect decisions. Researchers developed QuadAttacK, a software that can test deep neural networks for susceptibility to these attacks, and found widespread vulnerabilities in widely-used networks. The findings highlight the need to enhance AI robustness against adversarial attacks, particularly in critical applications with potential human life implications.