Fooling the Image Dehazing Models by First Order Gradient

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...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2024-07, Vol.34 (7), p.6265-6278
Hauptverfasser:	Gui, Jie, Cong, Xiaofeng, Peng, Chengwei, Tang, Yuan Yan, Kwok, James Tin-Yau
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial attack and defense Algorithms Effectiveness first order gradient Glass box Haze Image dehazing Image restoration Perturbation methods Robustness security Superresolution Task analysis Training
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