CV

Education

• Ph.D. in Computer Architecture, University of Chinese Academy of Sciences, 2024
• M.S. in Computer Architecture, University of Chinese Academy of Sciences, 2019
• B.S. in Computer Science and Technology, Shandong University, 2017

Work experience

• 2024: Tencent Tech Expert
  • WeChat Group
  • Duties includes: program profiling, profile-guided optimization.
• 2023: Research Assistant
  • Zhongguancun Laboratory
  • Duties included: eBPF security research
  • Supervisor: Professor Chenggang Wu, Associate Professor Zhe Wang

Skills

• Compiler: Proficient in LLVM compiler architecture, middle-end and back-end programming, including program analysis, code transformation, and reinforcement.
• Kernel: Experienced in kernel bypassing, eBPF, Linux kernel analysis, operating system development, and kernel debugging.
• Reverse Engineering: Skilled in binary code diffing and rewriting techniques.
• Others: Familiar with Intel/ARM hardware characteristics, Trusted Execution Environment principles and design, and fuzz testing.
• Programming Languages: C / C++ / Python / JavaScript / Java / Shell

Publications

Shining Light on the Inter-procedural Code Obfuscation: Keep Pace with Progress in Binary Diffing

Peihua Zhang, Chenggang Wu, Hanzhi Hu, Lichen Jia, Mingfan Peng, Jiali Xu, Mengyao Xie, Yuanming Lai, Yan Kang, and Zhe Wang. 2024. Shining Light on the Inter-procedural Code Obfuscation: Keep Pace with Progress in Binary Diffing. ACM Trans. Archit. Code Optim. Just Accepted (October 2024). https://doi.org/10.1145/3701992.

Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants

Lichen Jia, Chenggang Wu, Bowen Tang, Peihua Zhang, Zihan Jiang, Yang Yang, Ning Liu, Jingfeng Zhang, and Zhe Wang. 2024. Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 11508–11518, Miami, Florida, USA. Association for Computational Linguistics.

Hive: A Hardware-assisted Isolated Execution Environment for eBPF on AArch64

Peihua Zhang, Chenggang Wu, Xiangyu Meng, Yinqian Zhang, Mingfan Peng, Shiyang Zhang, Bing Hu, Mengyao Xie, Yuanming Lai, Yan Kang, and Zhe Wang. In Proceedings of the 33rd USENIX Security Symposium (Security 2024). PHILADELPHIA, PA, USA, August 2024.

CodeExtract: Enhancing Binary Code Similarity Detection with Code Extraction Techniques

Lichen Jia, Chenggang Wu, Peihua Zhang, and Zhe Wang. "CodeExtract: Enhancing Binary Code Similarity Detection with Code Extraction Techniques." In Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, pp. 143-154. 2024.

BinCodex: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques

Peihua Zhang, Chenggang Wu, and Zhe Wang. "BinCodex: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques.". BenchCouncil Transactions on Benchmarks, Standards and Evaluations 4.2 (2024): 100163.

OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing

Hongna Geng, Ming Zhong, Peihua Zhang, Fang Lv, and Xiaobing Feng. "OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing." In 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), pp. 774-785. IEEE, 2023.

Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques

Peihua Zhang, Chenggang Wu, Mingfan Peng, Kai Zeng, Ding Yu, Yuanming Lai, Yan Kang, Wei Wang, and Zhe Wang. 2023. Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques. In Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization (CGO 2023). Association for Computing Machinery, New York, NY, USA, 55–67. https://doi.org/10.1145/3579990.3580007.