FSPGD uses two feature-similarity losses to craft segmentation attacks that transfer across CNN and transformer models, and reports large mIoU drops on Pascal VOC and Cityscapes.
On the robustness of semantic segmentation models to adversarial attacks
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FSPGD: Rethinking Black-box Attacks on Semantic Segmentation
FSPGD uses two feature-similarity losses to craft segmentation attacks that transfer across CNN and transformer models, and reports large mIoU drops on Pascal VOC and Cityscapes.