BriefGPT.xyz
May, 2024
面向自动驾驶中基于视觉和语言模型的可转移攻击的研究
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
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Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu...
TL;DR
借助于大规模视觉-语言模型,本研究探索了针对自动驾驶系统的印刷攻击,重点关注真实交通场景中这些攻击的部署方式及其对决策自主性的潜在影响,对于已有的大规模视觉-语言模型表示特别有害的印刷攻击引起了社区的关注。
Abstract
vision-large-language-models
(Vision-LLMs) are increasingly being integrated into
autonomous driving
(AD) systems due to their advanced visual-language reasoning capabilities, targeting the perception, prediction
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