Node-wise Hardware Trojan Detection Based on Graph Learning
Author:
Affiliation:
1. KDDI Research, Inc., Japan
2. Waseda University, Japan
Funder
commissioned research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software
Link
http://xplorestaging.ieee.org/ielx7/12/4358213/10135152.pdf?arnumber=10135152
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Graph augmentation against structural poisoning attacks via structure and attribute reconciliation;International Journal of Machine Learning and Cybernetics;2024-09-11
2. Deep Learning Based Graph Neural Network Technique for Hardware Trojan Detection at Register Transfer Level;2024 IEEE 4th International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI SATA);2024-05-17
3. FAST-GO: Fast, Accurate, and Scalable Hardware Trojan Detection using Graph Convolutional Networks;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03
4. A Deep Learning Approach for Hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks;Lecture Notes in Networks and Systems;2024
5. Membership Inference Attacks against GNN-based Hardware Trojan Detection;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
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