Technical Report on the CVPR 2026@AdvML Workshop Challenge
Vision-language agents (VLAs) are increasingly used to interpret complex driving scenes and support safety-critical reasoning. This report presents the CVPR 2026@AdvML Workshop Challenge on adversarial multimodal attacks against autonomous-driving VLAs. Built on DriveLM-style multi-view visual question answering, the challenge represents each scene with six synchronized camera images and a structured collection of driving-related question-answer pairs. Participants generate adversarial images an
Record details
Published: 13 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “Technical Report on the CVPR 2026@AdvML Workshop Challenge,” evidence record 3049, https://ethics.ai/record/3049 (originally published by arXiv cs.AI).
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