DEFENGRAPH integrates a dual-layer static-dynamic KG with LLMs via path retrieval, filtering, and re-ranking, raising reasoning-recall from 61.45% to 73.49% and ticket-action recall from 52.17% to 72.46% on GPT-4o in live red-blue cyber range data.
Sok: Semantic privacy in large language models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper systematizes agentic skills beyond tool use, providing design pattern and representation-scope taxonomies plus security analysis of malicious skill infiltration in agent marketplaces.
citing papers explorer
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DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense
DEFENGRAPH integrates a dual-layer static-dynamic KG with LLMs via path retrieval, filtering, and re-ranking, raising reasoning-recall from 61.45% to 73.49% and ticket-action recall from 52.17% to 72.46% on GPT-4o in live red-blue cyber range data.
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SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
The paper systematizes agentic skills beyond tool use, providing design pattern and representation-scope taxonomies plus security analysis of malicious skill infiltration in agent marketplaces.