B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions

IF 6.3 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

IEEE Transactions on Information Forensics and Security Pub Date : 2024-12-25 DOI:10.1109/tifs.2024.3520306

Hao Zhang, Wenqi Shao, Hong Liu, Yongqiang Ma, Ping Luo, Yu Qiao, Nanning Zheng, Kaipeng Zhang

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大型视觉语言模型在黑盒对抗视觉指令上的鲁棒性评估

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Information Forensics and Security 工程技术-工程：电子与电气

CiteScore

14.40

自引率

7.40%

发文量

234

审稿时长

6.5 months

期刊介绍： The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features