Automating Cyber Attacks: Hype and Reality

Ben Buchanan, , John Bansemer, Dakota Cary, Jack Lucas,Micah Musser

crossref(2020)

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Abstract
Based on an in-depth analysis of artificial intelligence and machine learning systems, the authors consider the future of applying such systems to cyber attacks, and what strategies attackers are likely or less likely to use. As nuanced, complex, and overhyped as machine learning is, they argue, it remains too important to ignore.
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