Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond. (arXiv:2203.16931v1 [cs.CV])

Rain removal aims to remove rain streaks from images/videos and reduce the
disruptive effects caused by rain. It not only enhances image/video visibility
but also allows many computer vision algorithms to function properly. This
paper makes the first attempt to conduct a comprehensive study on the
robustness of deep learning-based rain removal methods against adversarial
attacks. Our study shows that, when the image/video is highly degraded, rain
removal methods are more vulnerable to the adversarial attacks as small
distortions/perturbations become …

adversarial analysis attacks benchmark beyond