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Adversarial attacks on image classification aim to make visually imperceptible changes to induce misclassification. Popular computational definitions of imperceptibility are largely based on mathematical convenience such as pixel p-norms. We perform a behavioral study that allows us to quantitatively demonstrate the mismatch between human perception and popular imperceptibility measures such as pixel p-norms, earth mover’s distance, structural similarity index, and deep net embedding. Our results call for a reassessment of current adversarial attack formulation.more » « less
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Sen, Ayon; Zhu, Xiaojin; Marshall, Erin; Nowak, Robert (, Conference on Decision and Game Theory for Security)null (Ed.)
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Sen, Ayon; Zhu, Xiaojin; Marshall, Erin; Nowak, Robert (, International Conference on Decision and Game Theory for Security)null (Ed.)
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Sen, Ayon; Alfeld, Scott; Zhang, Xuezhou; Vartanian, Ara; Ma, Yuzhe; Zhu, Xiaojin (, International Conference on Decision and Game Theory for Security)
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