2 papers
cs.CR2026
GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction
Jinze Gu, Qinghua Mao, Xi Lin +1
Retrieval-Augmented Generation (RAG) enhances LLMs by grounding generation in query-relevant external evidence. Beyond unstructured text corpora, Graph RAG integrates knowledge gra…
cs.AI2026
Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing
Qinghua Mao, Xi Lin, Jinze Gu +3
Large language models (LLMs) increasingly rely on knowledge editing to support knowledge-intensive reasoning, but this flexibility also introduces critical safety risks: adversarie…