Khaled Abud

3 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ICCV (1) ICML (1)

Top co-authors

Sergey Lavrushkin (3) Ekaterina Shumitskaya (2) Aleksandr Gushchin (2) Dmitriy Vatolin (2) Anastasia Antsiferova (2) Bader Rasheed (1) Alexey Kirillov (1) Anna Chistyakova (1) Georgii Bychkov (1) Dmitriy S. Vatolin (1)

Research topics

Machine Learning (3) Computer Vision (2) Deep Learning (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Computer Science (1) Application Areas (1) Applications (1) Core AI (1) Generation (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1) Processing (1)

Keywords

image quality assessment (3) adversarial attack (2) knowledge transfer (1) generative model (1) diffusion model (1) video quality assessment (1) neural network (1) conditional image generation (1) metric robustness (1) no-reference metric (1) benchmark (1) defenses (1) iqa metrics (1) adversarial robustness (1) no-reference iqa metrics (1) image generation (1)

Papers

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics ICML 2025 IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models ICCV 2025 Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024