Pre-trained single-image dehazing transformers are vulnerable to one-pixel and small L-infinity perturbations, and scale-and-bias or linear-adapter fine-tuning with adversarial training restores much of the robustness on RESIDE-Outdoor and two remote sensing datasets.
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Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Pre-trained single-image dehazing transformers are vulnerable to one-pixel and small L-infinity perturbations, and scale-and-bias or linear-adapter fine-tuning with adversarial training restores much of the robustness on RESIDE-Outdoor and two remote sensing datasets.