| LLM4SecHW: Leveraging domain-specific large language model for hardware debugging W Fu, K Yang, RG Dutta, X Guo, G Qu 2023 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2023 | 7 | 2023 |
| Hardware Phi-1.5 B: A Large Language Model Encodes Hardware Domain Specific Knowledge W Fu, S Li, Y Zhao, H Ma, R Dutta, X Zhang, K Yang, Y Jin, X Guo arXiv preprint arXiv:2402.01728, 2024 | 2 | 2024 |
| Fuzzing Hardware: Faith or Reality? W Fu, O Arias, Y Jin, X Guo 2021 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-6, 2021 | 2 | 2021 |
| Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms W Fu, H Yu, O Arias, K Yang, Y Jin, T Yavuz, X Guo Proceedings of the Great Lakes Symposium on VLSI 2022, 481-486, 2022 | 1 | 2022 |
| Inter-IP malicious modification detection through static information flow tracking Z Liu, O Arias, W Fu, Y Jin, X Guo 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 600-603, 2022 | 1 | 2022 |
| VGF: Value-Guided Fuzzing--Fuzzing Hardware as Hardware R Dai, M Lee, P Hoey, W Fu, T Yavuz, X Guo, S Wang, D Sullivan, O Arias arXiv preprint arXiv:2312.06580, 2023 | | 2023 |
| Implementing Wavelet Transforms in the Pooling Process of Convolutional Neural Networks for Image Denoising W Fu The George Washington University, 2021 | | 2021 |
Xiaolong GuoAssistant Professor, Kansas State UniversityVerified email at ksu.edu
