Vision Language Models

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

Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures

Vision-language models are emerging for autonomous driving, yet their robustness to physical adversarial attacks remains unexplored. This paper presents a systematic framework for …

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David Fernandez
Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios featured image

Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios

Autonomous Vehicles (AVs) have transformed transportation by reducing human error and enhancing traffic efficiency, driven by deep neural network (DNN) models that power image …

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David Fernandez