相关实验视频

Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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在视觉语言模型中通过多式联络特征异质性提升对抗性可转移性

Long Chen1, Yuling Chen2,3, Zhi Ouyang1

  • 1State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, China.

Scientific reports
|March 2, 2025
PubMed
概括

这项研究引入了一种新的多式联络功能异质攻击框架,以改善对视觉语言预训练 (VLP) 模型在医学成像中的对抗性攻击. 该框架增强了攻击的有效性和可转移性,在稳定性测试中显示出显著的改进.

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