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On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
What fundamentally distinguishes an adversarial attack from a misclassification due to limited model expressivity or finite data? In this work, we investigate this question in the setting of high-dimensional binary classification, where statistical effects due to limited data availability play a cen
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