3 papers
cs.CV2025
Snowball Adversarial Attack on Traffic Sign Classification
Anthony Etim, Jakub Szefer
Adversarial attacks on machine learning models often rely on small, imperceptible perturbations to mislead classifiers. Such strategy focuses on minimizing the visual perturbation…
cs.CV2025
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
Anthony Etim, Jakub Szefer
Adversarial attacks on deep learning models have proliferated in recent years. In many cases, a different adversarial perturbation is required to be added to each image to cause th…
cs.CV2024
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim, Jakub Szefer
Adversarial input image perturbation attacks have emerged as a significant threat to machine learning algorithms, particularly in image classification setting. These attacks involv…