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OpenAI 创建可欺骗多尺度视角的对抗样本

OpenAI 创建可欺骗多尺度视角神经网络的对抗样本

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We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and the like.

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