Understanding Q, K, and V in Attention Mechanisms

Understanding Q, K, and V in Attention Mechanisms

Question: I have searched various materials and read the original papers, which detail how Q, K, and V are obtained through certain operations to derive output results. However, I have not found any explanation of where Q, K, and V come from. Isn’t the input to a layer just a tensor? Why do we have … Read more

Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

Abstract With the growing popularity of Retrieval-Augmented Generation (RAG) systems in various real-world services, concerns about their security are increasing. RAG systems enhance the generative capabilities of Large Language Models (LLMs) through retrieval mechanisms operating on private knowledge bases. However, unintended exposure of this mechanism can lead to severe consequences, including the leakage of private … Read more