Season separates low- and high-frequency gradient components, redirects texture noise to background regions, and projects the branches orthogonally, lifting average transfer success by 6.6 percentage points.
Explaining and harnessing adversarial examples,
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Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial Attacks
Season separates low- and high-frequency gradient components, redirects texture noise to background regions, and projects the branches orthogonally, lifting average transfer success by 6.6 percentage points.