Rozhin Yasaei

According to our database, Rozhin Yasaei authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Graph Deviation Network for Anomaly Detection and Localization in Additive Manufacturing Systems.

Rozhin Yasaei, Ashley Sayuri Masuda, Yasamin Moghaddas, Mohammad Abdullah Al Faruque

ACM Trans. Cyber Phys. Syst., April, 2026

Stealthy Hardware Trojans in AI Accelerators: Attacks on Transformer, Convolutional Neural Network, and Systolic Architectures.

Harish Kumar Dharavath, Banafsheh Saber Latibari, Kevin Immanuel Gubbi, Muhtasim Alam Chowdhury, Sujan Ghimire, Rozhin Yasaei, Pratik Satam, Avesta Sasan, Houman Homayoun, Soheil Salehi

IEEE Micro, 2026

Circuits as Graphs: A Review of Graph Learning for Secure and Trustworthy Hardware.

Afjal Hossan Sarower, Soheil Salehi, Rozhin Yasaei

IEEE Access, 2026

Can Agents Secure Hardware? Evaluating Agentic LLM-Driven Obfuscation for IP Protection.

Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury, Veeramani Pugazhenthi, Harish Kumar Dharavath, Farshad Firouzi, Rozhin Yasaei, Pratik Satam, Soheil Salehi

Proceedings of the 44th IEEE VLSI Test Symposium, 2026

MOTION: ML-Assisted On-Device Low-Latency Motion Recognition.

Veeramani Pugazhenthi, Wei-Hsiang Chu, Junwei Lu, Jadyn N. Miyahira, Mahdi Eslamimehr, Pratik Satam, Rozhin Yasaei, Soheil Salehi

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

FedLLM4HW: Carbon-Aware Federated Triage of Hardware Weaknesses in LLM-Generated Verilog Code.

Parsa Mirfasihi, Arthur Kim, Hariharan Ramesh, Josh Dean, Melika Akbarsharifi, Roxana Akbarsharifi, John Paul Martin Encinas, Pratik Satam, Jyotikrishna Dass, Rozhin Yasaei, Soheil Salehi

Proceedings of the 16th ACM International Green and Sustainable Computing Conference, 2026

2025

Hardware Trojan Detection Using Graph Neural Networks.

Rozhin Yasaei, Luke Chen, Shih-Yuan Yu, Mohammad Abdullah Al Faruque

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2025

LLM-HyPZ: Hardware Vulnerability Discovery Using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement.

Yu-Zheng Lin, Sujan Ghimire, Abhiram Nandimandalam, Jonah Michael Camacho, Unnati Tripathi, Rony Macwan, Sicong Shao, Setareh Rafatirad, Rozhin Yasaei, Pratik Satam, Soheil Salehi

Proceedings of the IEEE International Conference on Data Mining, 2025

LLM-Powered Automated Cloud Forensics: From Log Analysis to Investigation.

Dalal N. Alharthi, Rozhin Yasaei

Proceedings of the 18th IEEE International Conference on Cloud Computing, 2025

2024

IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion.

Rozhin Yasaei, Yasamin Moghaddas, Mohammad Abdullah Al Faruque

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Graph Neural Network for Integrated Circuits and Cyber-Physical Systems Security

Rozhin Yasaei

PhD thesis, 2023

2022

Hardware Trojan Power & EM Side-Channel dataset.

Rozhin Yasaei, Sina Faezi, Mohammad Abdullah Al Faruque

Dataset, May, 2022

Golden Reference-Free Hardware Trojan Localization Using Graph Convolutional Network.

Rozhin Yasaei, Sina Faezi, Mohammad Abdullah Al Faruque

IEEE Trans. Very Large Scale Integr. Syst., 2022

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

Paul Seurin, Olusola Olabanjo, Joseph Wiggins, Lorien Pratt, Loveneesh Rana, Rozhin Yasaei, Gregory Renard

CoRR, 2022

2021

Hardware Design Dataset for Circuit Graph Analysis.

Rozhin Yasaei, Shih-Yuan Yu, Qingrong Zhou, Mohammad Abdullah Al Faruque

Dataset, October, 2021

Brain-Inspired Golden Chip Free Hardware Trojan Detection.

Sina Faezi, Rozhin Yasaei, Anomadarshi Barua, Mohammad Abdullah Al Faruque

IEEE Trans. Inf. Forensics Secur., 2021

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

Yasamin Moghaddas, Tommy Nguyen, Shih-Yuan Yu, Rozhin Yasaei, Mohammad Abdullah Al Faruque

CoRR, 2021

HW2VEC: a Graph Learning Tool for Automating Hardware Security.

Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

Stealing Neural Network Structure through Remote FPGA Side-channel Analysis.

Yicheng Zhang, Rozhin Yasaei, Hao Chen, Zhou Li, Mohammad Abdullah Al Faruque

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

GNN4TJ: Graph Neural Networks for Hardware Trojan Detection at Register Transfer Level.

Rozhin Yasaei, Shih-Yuan Yu, Mohammad Abdullah Al Faruque

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HTnet: Transfer Learning for Golden Chip-Free Hardware Trojan Detection.

Sina Faezi, Rozhin Yasaei, Mohammad Abdullah Al Faruque

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection.

Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini, Mohammad Abdullah Al Faruque

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

IoT-CAD: Context-Aware Adaptive Anomaly Detection in IoT Systems Through Sensor Association.

Rozhin Yasaei, Felix Hernandez, Mohammad Abdullah Al Faruque

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020