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Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Presently, with the assistance of advanced LLM application development frameworks, more and more LLM-powered applications can effortlessly augment the LLMs' knowledge with external content using the retrieval augmented generation (RAG) technique.
When Fuzzing Meets LLMs: Challenges and Opportunities
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs).
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