Rozhin Yasaei

Orcid: 0000-0001-5761-9865

According to our database1, Rozhin Yasaei authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Hardware Trojan Detection using Graph Neural Networks.
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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