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On the Prediction of Hardware Security Properties of HLS Designs Using Graph Neural Networks

IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems(2023)

Cited 0|Views27
Key words
Hardware Security,High-level Synthesis (HLS),Graph Neural Networks (GNN),Regression,Fault Injection (FI) Attacks,Countermeasures
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