ODE4ViTRobustness: A Tool for Understanding Adversarial Robustness of Vision Transformers

We present ODE4ViTRobustness, a software tool for analysing and understanding the adversarial robustness of Vision Transformers (ViTs). The tool leverages ordinary differential equation perspectives on ViT depth dynamics to provide structured robustness evaluation, enabling practitioners to probe how attention-based architectures respond to adversarial perturbations. ODE4ViTRobustness provides a unified interface for benchmarking multiple ViT variants and attack strategies, contributing to the broader effort of building interpretable and trustworthy vision models.