SHACR is a graph-augmented framework that grounds LLMs in a formal knowledge graph to unify logical, semantic, and physical conflict detection in IoT automation, raising F1 from 0.59 to 0.95 on a 203-rule testbed.
ChatIoT: Large language model-based security as- sistant for Internet of Things with retrieval-augmented generation,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
VeriChat is a retrieval-augmented multi-agent conversational system for hardware security verification that integrates EDA tools and reports 87.73% faithfulness while demonstrating autonomous Trojan detection on an AES design.
citing papers explorer
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SHACR: A Graph-Augmented Semi-Autonomous Framework for Multi-Class Conflict Resolution in Smart Home IoT Automation
SHACR is a graph-augmented framework that grounds LLMs in a formal knowledge graph to unify logical, semantic, and physical conflict detection in IoT automation, raising F1 from 0.59 to 0.95 on a 203-rule testbed.
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VeriChat: An Agentic Conversational AI Assistant for Hardware Security Verification
VeriChat is a retrieval-augmented multi-agent conversational system for hardware security verification that integrates EDA tools and reports 87.73% faithfulness while demonstrating autonomous Trojan detection on an AES design.