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BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by retrieving relevant information from external knowledge bases to provide more accurate, contextually informed, and up-to-date responses. However, this reliance on external knowledge introduces significant security vulnerab
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