Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks - Anastasia Antsiferova; Khaled Abud; Aleksandr Gushchin; Ekaterina Shumitskaya; Sergey Lavrushkin; Dmitriy S. Vatolin (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Adversarial purification for no-reference image-quality metrics: applicability study and new methods - Aleksandr Gushchin; Anna Chistyakova; Vladislav Minashkin; Anastasia Antsiferova; Dmitriy S. Vatolin (CoRR, 2024)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results - Maksim Smirnov; Aleksandr Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin; Radu Timofte; Ziheng Jia; Zicheng Zhang; Wei Sun; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (CoRR, 2024)

Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods - Egor Kovalev; Georgii Bychkov; Khaled Abud; Aleksandr Gushchin; Anna Chistyakova; Sergey Lavrushkin; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2024)

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks - Anastasia Antsiferova; Khaled Abud; Aleksandr Gushchin; Sergey Lavrushkin; Ekaterina Shumitskaya; Maksim Velikanov; Dmitriy S. Vatolin (CoRR, 2023)

Video compression dataset and benchmark of learning-based video-quality metrics - Anastasia Antsiferova; Sergey Lavrushkin; Maksim Smirnov; Aleksandr Gushchin; Dmitriy S. Vatolin; Dmitriy L. Kulikov (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)