GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction 事件

GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction arXiv:2605.28645v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs by grounding generation in query-relevant external evidence. Beyond unstructured text corpora, Graph RAG integrates knowledge graphs into the retrieval pipeline, enabling LLMs to access entities, relations, and multi-hop dependencies encoded in structured knowledge. However, the same structured knowledge that e