A 2-layer GCN on RTL dataflow graphs detects hardware trojans with 98.66% precision and 92.30% recall, but the evaluation rests on only 51 designs with no released code or data.
Llm4sechw: Leveraging domain-specific large language model for hardware debugging
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TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
A 2-layer GCN on RTL dataflow graphs detects hardware trojans with 98.66% precision and 92.30% recall, but the evaluation rests on only 51 designs with no released code or data.