Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks Ao-Xiang Zhang Y u Ran Weixuan T ang Y uan-Gen Wang

No-Reference Video Quality Assessment (NR-VQA) plays an essential role in improving the viewing experience of end-users. Driven by deep learning, recent NR-VQA models based on Convolutional Neural Networks (CNNs) and Transformers have achieved outstanding performance.