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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. This innocuous kitten photo, printed on
Robust Adversarial Examples 
Added a year ago by Francis Tseng
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Robust Adversarial Examples 
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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. This innocuous kitten photo, printed on
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