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May, 2023
图像引导故事结尾生成的迭代对抗攻击
Iterative Adversarial Attack on Image-guided Story Ending Generation
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Youze Wang, Wenbo Hu, Richang Hong
TL;DR
本研究提出了一种迭代的对抗攻击方法(Iterative-attack),该方法融合了图像和文本攻击,可以更有效地搜索对抗性的文本和图像,从而提高多模态文本生成模型的对抗鲁棒性。实验结果表明,该方法优于现有的单模态和非迭代多模态攻击方法,这表明可以提高多模态文本生成模型的安全性。
Abstract
multimodal learning
involves developing models that can integrate information from various sources like images and texts. In this field, multimodal
text generation
is a crucial aspect that involves processing dat
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