Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
SMRTR summary
RAG systems enhance LLM outputs using external knowledge bases but face data privacy risks. A new relevance-based framework extracts private knowledge from RAG systems more effectively than previous methods, highlighting vulnerabilities and the need for stronger safeguards in applications like customer support and medical chatbots.
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