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Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation

delete2025-11-02
delete0
PRE
AI
T
Tianzhe Zhao
J
Jiaoyan Chen
Y
Yanchi Ru
H
Haiping Zhu
J
Jun Liu
Q
Qika Lin
DOI：10.1016/j.inffus.2025.103900delete
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Abstract

Abstract

En 中文
• The first systematic study of data poisoning attacks on KG-RAG. • Developing a targeted attack strategy to complete adversarial inference chains. • Our attacks substantially degrade the performance of existing KG-RAG systems.

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

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T
The University of Manchester
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1.4K
Papers: 643
Citations: 5
X
xi’an jiaotong university
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Papers: 2.4K
Citations: 1
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Southeast University
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1.9W
Papers: 8.2K
Citations: 480
N
National University of Singapore
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Papers: 6.5W
Citations: 11.4W
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