Name
Title | ||
|---|---|---|
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering |
Abstract | ||
|---|---|---|
Reverse engineering an integrated circuit netlist is a powerful tool to help detect malicious logic and counteract design piracy. A critical challenge in this domain is the correct classification of data-path and control-logic registers in a design. We present ReIGNN, a novel learning-based register classification methodology that combines graph neural networks (GNNs) with structural analysis to c... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCAD51958.2021.9643498 | 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD) |
Keywords | DocType | ISSN |
Integrated circuits,Deep learning,Sensitivity,Design automation,Reverse engineering,Computer architecture,Graph neural networks | Conference | 1933-7760 |
ISBN | Citations | PageRank |
978-1-6654-4507-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Subhajit Dutta Chowdhury | 1 | 0 | 0.34 |
| Kaixin Yang | 2 | 0 | 1.01 |
| Pierluigi Nuzzo | 3 | 305 | 33.35 |