Rozhin Yasaei

Orcid: 0000-0001-5761-9865

According to our database1, Rozhin Yasaei authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Hardware Trojan Detection Using Graph Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2025

2024
IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Graph Neural Network for Integrated Circuits and Cyber-Physical Systems Security
PhD thesis, 2023

2022
Hardware Trojan Power & EM Side-Channel dataset.
Dataset, May, 2022

Golden Reference-Free Hardware Trojan Localization Using Graph Convolutional Network.
IEEE Trans. Very Large Scale Integr. Syst., 2022

H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship.
CoRR, 2022

2021
Hardware Design Dataset for Circuit Graph Analysis.
Dataset, October, 2021

Stealing Neural Network Structure Through Remote FPGA Side-Channel Analysis.
IEEE Trans. Inf. Forensics Secur., 2021

Brain-Inspired Golden Chip Free Hardware Trojan Detection.
IEEE Trans. Inf. Forensics Secur., 2021

Technical Report for HW2VEC - A Graph Learning Tool for Automating Hardware Security.
CoRR, 2021

HW2VEC: a Graph Learning Tool for Automating Hardware Security.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

GNN4TJ: Graph Neural Networks for Hardware Trojan Detection at Register Transfer Level.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HTnet: Transfer Learning for Golden Chip-Free Hardware Trojan Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
IoT-CAD: Context-Aware Adaptive Anomaly Detection in IoT Systems Through Sensor Association.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020


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