RFCoA crafts stealthy physical-world adversarial examples by extracting target-class robust features and fusing them into clean images with a spatial mask.
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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
RFCoA crafts stealthy physical-world adversarial examples by extracting target-class robust features and fusing them into clean images with a spatial mask.