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KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs
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KG-DF is a unified framework where a Knowledge Graph (KG) is constructed with safety and general knowledge. An LLM performs semantic parsing of user input to extract keywords, which are then used to retrieve relevant KG triples. These triples are integrated into the LLM's prompt as a "warning" and the LLM then performs a judgment (reasoning) to decide whether to respond or reject, thereby enhancing LLM security against jailbreak attacks and improving general QA. This constitutes a synergistic reasoning process where the LLM acts as an agent interacting with KG-derived knowledge for decision-making.
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