Survey: Hardware Trojan Detection for Netlist
Author:
Funder
National Natural Science Foundation of China
Youth Innovation Promotion Association
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9301474/9301477/09301614.pdf?arnumber=9301614
Cited by 18 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. CA4TJ: Correlational Analysis for Always-On Information-Leakage Hardware Trojan Detecting;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18
2. 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
3. A Hybrid Approach to Reverse Engineering on Combinational Circuits;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25
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. A fine-grained detection method for gate-level hardware Trojan base on bidirectional Graph Neural Networks;Journal of King Saud University - Computer and Information Sciences;2023-12
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