Fooling the Image Dehazing Models by First Order Gradient

arXiv:2303.17255v2 Announce Type: replace-cross
Abstract: The research on the single image dehazing task has been widely explored. However, as far as we know, no comprehensive study has been conducted on the robustness of the well-trained dehazing models. Therefore, there is no evidence that the dehazing networks can resist malicious attacks. In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms. By analyzing the general …

arxiv cs.cr cs.cv eess.iv image order