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Found 3 papers, 1 papers with code
Black-box Adversarial Attacks Against Image Quality Assessment Models
Specifically, we first formulate the attack problem as maximizing the deviation between the estimated quality scores of original and perturbed images, while restricting the perturbed image distortions for visual quality preservation.
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
In this paper, we make the first attempt to evaluate the robustness of NR-VQA models against adversarial attacks, and propose a patch-based random search method for black-box attack.
HVS Revisited: A Comprehensive Video Quality Assessment Framework
Based on the revisited HVS, a no-reference VQA framework called HVS-5M (NRVQA framework with five modules simulating HVS with five characteristics) is proposed.
Ranked #6 on
Video Quality Assessment
on LIVE-FB LSVQ
