Khaled Abud

According to our database, Khaled Abud authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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, June, 2025

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

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

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

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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