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In adversarial machine learning, physical adversarial examples refers to adversarial perturbations realized on physical objects, such as stickers on road signs, that keep fooling classifiers across viewing conditions. This meaning comes from Eykholt (2018) in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.[1]
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