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AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt
Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Xiaoyong Yuan
https://arxiv.org/abs/2509.15159 …

AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by retrieving relevant documents from external sources to improve factual accuracy and verifiability. However, this reliance introduces new attack surfaces within the retrieval pipeline, beyond the LLM itself. While prior RAG attacks have exposed such vulnerabilities, they largely rely on manipulating user queries, which is often infeasible in practice due to fixed or protected user inputs. This narrow focus overlooks a …