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.
Understanding and improving fast adversarial training
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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.