Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method

arXiv:2401.05217v3 Announce Type: replace
Abstract: No-Reference Image Quality Assessment (NR-IQA) aims to predict image quality scores consistent with human perception without relying on pristine reference images, serving as a crucial component in various visual tasks. Ensuring the robustness of NR-IQA methods is vital for reliable comparisons of different image processing techniques and consistent user experiences in recommendations. The attack methods for NR-IQA provide a powerful instrument to test the robustness of NR-IQA. However, current attack methods of NR-IQA heavily rely …

abstract arxiv assessment box consistent cs.cv eess.iv human image images perception quality query reference robustness tasks type visual vital vulnerabilities