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)

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 (AAAI, 2024)

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. - Alexander Gushchin; Khaled Abud; Georgii Bychkov; Ekaterina Shumitskaya; Anna Chistyakova; Sergey Lavrushkin; Bader Rasheed; Kirill Malyshev; Dmitriy S. Vatolin; Anastasia Antsiferova (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)

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models. - Khaled Abud; Sergey Lavrushkin; Alexey Kirillov; Dmitriy S. Vatolin (CoRR, 2024)

NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis. - Georgii Bychkov; Khaled Abud; Egor Kovalev; Alexander Gushchin; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2025)