| 2026 | IOLTS | GINx4TL: Fine-grained Hardware Trojan Localization and Extraction Using Feature Explainable Graph Isomorphism Network. | Afjal Hossan Sarower, Rozhin Yasaei |
| 2026 | VTS | 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 |
| 2025 | ICDM | 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 |
| 2024 | DATE | IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion. | Rozhin Yasaei, Yasamin Moghaddas, Mohammad Abdullah Al Faruque |
| 2021 | DAC | GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection. | Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini, Mohammad Abdullah Al Faruque |
| 2021 | DATE | HTnet: Transfer Learning for Golden Chip-Free Hardware Trojan Detection. | Sina Faezi, Rozhin Yasaei, Mohammad Abdullah Al Faruque |
| 2021 | DATE | GNN4TJ: Graph Neural Networks for Hardware Trojan Detection at Register Transfer Level. | Rozhin Yasaei, Shih-Yuan Yu, Mohammad Abdullah Al Faruque |
| 2021 | FPGA | Stealing Neural Network Structure through Remote FPGA Side-channel Analysis. | Yicheng Zhang, Rozhin Yasaei, Hao Chen, Zhou Li, Mohammad Abdullah Al Faruque |
| 2020 | ICCAD | IoT-CAD: Context-Aware Adaptive Anomaly Detection in IoT Systems Through Sensor Association. | Rozhin Yasaei, Felix Hernandez, Mohammad Abdullah Al Faruque |