A composite adversarial training method that combines small-area gradient-guided patches with imperceptible global perturbations improves object detector robustness against both adversarial patches and adversarial texture attacks.
Class- aware robust adversarial training for object detection
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PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
A composite adversarial training method that combines small-area gradient-guided patches with imperceptible global perturbations improves object detector robustness against both adversarial patches and adversarial texture attacks.