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The Boundary-Guided Frequency Fusion framework for unified image-level detection and pixel-level localization of FAE is introduced, which provides stable semantic localization, while a DCT-based high-frequency branch offers complementary residual cues.
Transfer-Dislocation and Curvature-Aware Gradient (TD-CAG), a new adversarial attack framework comprising two complementary modules: a curvature-aware gradient (CAG) module for modeling local nonlinearity, and a translation-dislocation (TD) module for modeling saliency misalignment.
Adversarial training (AT) is a widely adopted defense against adversarial attacks, but its multi-step optimization process for generating adversarial examples leads to substantial computational overhead. To mitigate this, various single-step adversarial training methods have been proposed. However, these models often s...
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