Adversarial Purification and Fine-tuning for Robust UDC Image Restoration

arXiv:2402.13629v1 Announce Type: cross
Abstract: This study delves into the enhancement of Under-Display Camera (UDC) image restoration models, focusing on their robustness against adversarial attacks. Despite its innovative approach to seamless display integration, UDC technology faces unique image degradation challenges exacerbated by the susceptibility to adversarial perturbations. Our research initially conducts an in-depth robustness evaluation of deep-learning-based UDC image restoration models by employing several white-box and black-box attacking methods. This evaluation is pivotal in understanding the vulnerabilities of current UDC …

abstract adversarial adversarial attacks arxiv attacks challenges cs.cv eess.iv fine-tuning image image restoration integration research robust robustness study technology type