Feng Luo is currently pursuing a PhD degree in the Department of Computing at the Hong Kong Polytechnic University under the supervision of Prof. Daniel Xiapu Luo. Before that, he received his B.S. and M.S. degrees from the University of Electronic Science and Technology of China under the supervision of Prof. Ting Chen. His current research interests include blockchain security, smart contract security, and decentralized finance (DeFi).

📖 Educations

  • 2024.01 - Present, Ph.D Candidate, The Hong Kong Polytechnic University.
  • 2020.09 - 2023.06, Master, University of Electronic Science and Technology of China.
  • 2016.09 - 2020.06, Undergraduate, University of Electronic Science and Technology of China.

📝 Publications

  • USENIX SEC 2025 Surviving in Dark Forest: Towards Evading the Attacks from Front-Running Bots in Application Layer
    Z. Ma, M. Jiang, F. Luo, X. Luo, Y. Zhou
    USENIX Security Symposium, 2025.

  • USENIX SEC 2025 Auspex: Unveiling Inconsistency Bugs of Transaction Fee Mechanism in Blockchain
    Z. He, Z. Li, J. Luo, F. Luo, J. Duan, J. Li, S. Song, X. Luo, T. Chen, X. Zhang
    USENIX Security Symposium, 2025.

  • USENIX FAST 2025 Maat: Analyzing and Optimizing Overcharge on Blockchain Storage
    Z. He, Z. Li, A. Qiao, J. Li, F. Luo, S. Yang, G. Deng, S. Song, X. Zhang, T. Chen, X. Luo
    Usenix Conference on File and Storage Technologies, 2025.

  • CCS 2024 Towards Automatic Discovery of Denial of Service Weaknesses in Blockchain Resource Models (Paper)
    F. Luo, H. Lin, Z. Li, X. Luo, R. Luo, Z. He, S. Song, T. Chen, W. Luo
    ACM Conference on Computer and Communications Security, 2024.
    Full paper version with the appendix (Paper)

  • ISSTA 2024 Empirical Study of Move Smart Contract Security: Introducing MoveScan for Enhanced Analysis (Paper)
    S. Song, J. Chen, T. Chen, X. Luo, T. Li, W. Yang, L. Wang, W. Zhang, F. Luo, Z. He, Y. Lu, P. Li
    ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024.

  • ICSE 2024 SCVHunter: Smart Contract VulnerabilityDetection Based on Heterogeneous GraphAttention Network (Paper)
    F. Luo, R. Luo, T. Chen, A. Qiao, Z. He, S. Song, Y. Jiang, S. Li
    IEEE/ACM International Conference on Software Engineering, 2024.

  • AIBT 2023 VulDet: Smart Contract Vulnerability Detection Based on Graph Attention Networks (Paper)
    F. Luo, R. Luo
    International Conference on Artificial Intelligence and Blockchain Technology, 2023.

  • ICBICC 2022 Smart contract vulnerability detection based on variant LSTM (Paper)
    R. Luo, F. Luo, B. Wang, T. Chen
    International Conference on Big Data, IoT, and Cloud Computing, 2022.

  • ICC 2022 TokenCat: Detect Flaw of Authentication on ERC20 Tokens (Paper)
    Z. He, Z. Liao, F. Luo, D. Liu, T. Chen, Z. Li
    IEEE International Conference on Communications, 2022.

💻 Teaching

💻 Services

  • IEEE Transactions on Dependable and Secure Computing (TDSC), Journal Reviewer