Paper-Conference

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis

Vision-language models (VLMs) are increasingly used in autonomous driving because they combine visual perception with language-based reasoning, supporting more interpretable …

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David Fernandez

SASA: Sequence-Aware Shadow Attacks via Attention Alignment for Traffic Sign Recognition

We propose SASA (Sequence-Aware Shadow Attack), a black-box adversarial framework that uses physically realistic, differentiable shadow patterns to deceive traffic sign recognition …

amir-salarpour