2 papers
cs.CV2025
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
Alexander Gushchin, Khaled Abud, Georgii Bychkov +7
In the field of Image Quality Assessment (IQA), the adversarial robustness of the metrics poses a critical concern. This paper presents a comprehensive benchmarking study of variou…
cs.CV2025
Adversarial robustness through Lipschitz-Guided Stochastic Depth in Neural Networks
Laith Nayal, Mahmoud Mousatat, Bader Rasheed
Deep neural networks and Vision Transformers achieve state-of-the-art performance in computer vision but are highly vulnerable to adversarial perturbations. Standard defenses often…