Skip to content
conftrace_
2025 ICML ICML 2025

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

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Science

Authors

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

Topics

Artificial Intelligence > Core AI > AI Safety Machine Learning > Learning Types > Adversarial Learning Computer Science > Applications > Computer Vision

Keywords

adversarial attack image quality assessment benchmark defenses iqa metrics no-reference iqa metrics
Download PDF