SIGIR

Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval

连续空间中密集检索的无监督语料库污染攻击

Yongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas

AI总结 本文提出在连续嵌入空间中进行无监督语料库污染攻击的方法，通过优化保持文档嵌入几何距离和最大化词级差异，提升攻击效率和效果，实验验证了其在不同领域数据集上的有效性。

Comments This paper has been accepted as a full paper at SIGIR 2025 and will be presented orally