In late February 2017, nearly two dozen leading researchers gathered in centuries-old Oxford, England, to warn of the most modern of hazards: malicious use of AI. Among the red flags they raised was an attack called adversarial machine learning. In this scenario, AI systems’ neural networks are tricked by intentionally modified external data. An attacker […]
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