Khaled Abud

According to our database, Khaled Abud authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild.

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya, Artem Filippov, Georgii Bychkov, Sergey Lavrushkin, Mikhail Erofeev, Anastasia Antsiferova, Changsheng Chen, Shunquan Tan, Radu Timofte, Dmitriy S. Vatolin, Chuanbiao Song, Zijian Yu, Hao Tan, Jun Lan, Zhiqiang Yang, Yongwei Tang, Zhiqiang Wu, Jia Wen Seow, Hong Vin Koay, Haodong Ren, Feng Xu, Shuai Chen, Ruiyang Xia, Qi Zhang, Yaowen Xu, Zhaofan Zou, Hao Sun, Dagong Lu, Mufeng Yao, Xinlei Xu, Fei Wu, Fengjun Guo, Cong Luo, Hardik Sharma, Aashish Negi, Prateek Shaily, Jayant Kumar, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Zhilin Tu, Fengpeng Li, Jiamin Zhang, Jianwei Fei, Kemou Li, Haiwei Wu, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Chenfan Qu, Junchi Li

CoRR, April, 2026

Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content.

Evgeney Bogatyrev, Khaled Abud, Ivan Molodetskikh, Nikita Alutis, Dmitriy Vatolin

CoRR, February, 2026

VSRQAD: Video Super-Resolution Quality Assessment Dataset and Benchmark.

Artem Borisov, Evgeney Bogatyrev, Khaled Abud, Ivan Molodetskikh, Dmitriy S. Vatolin

IEEE Access, 2026

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

Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack.

Khaled Abud, Sergey Lavrushkin, Dmitriy S. Vatolin

Big Data Cogn. Comput., 2025

WIBE: Watermarks for generated Images - Benchmarking & Evaluation.

Aleksey Yakushev, Aleksandr Akimenkov, Khaled Abud, Dmitry Obydenkov, Irina Serzhenko, Kirill Aistov, Egor Kovalev, Stanislav Fomin, Anastasia Antsiferova, Kirill Lukianov, Yury Markin

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics.

Aleksandr Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova

Proceedings of the Forty-second International Conference on Machine Learning, 2025

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models.

Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy S. Vatolin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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