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TOOL · CL_133607 · Jul 9 · 04:00

New theory bounds Adversarial Rademacher Complexity for deep neural networks

Researchers have developed the first theoretical bound for Adversarial Rademacher Complexity (ARC) in deep neural networks (DNNs). This new bound addresses the challenge of generalizing DNNs to perturbed test data, a pr…