讲师
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杜蓉

职位:

学历:博士

学科:计算机科学与技术

研究领域或方向:差分隐私,联邦学习,机器学习

邮箱:durong@tyut.edu.cn

职称:讲师(校聘副教授)

  • 个人简介
  • 主要课程
  • 主要成果
  • Welcome to my homepage!
    https://rongdugithub.github.io/durong.github.io//
    Please feel free to browse my publications and learn more about my research. If you have any questions or would like to collaborate, please feel free to contact me at durong@tyut.edu.cn .
  • [LY013423-01] Database Principles and Applications
  • [1] R. Du, Q. Ye, Y. Fu, and H. Hu. Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. Very Large Data Bases, VLDB 2025. (CCF-A)

    [2] Y. Mao, Q. Ye, R. Du, Q. Wang, H. Hu, and K. Huang. Multi-class Item Mining under Local Differential Privacy. IEEE International Conference on Data Engineering (ICDE), 2025. (CCF-A)

    [3] R. Du, Q. Ye, Y. Xiao, L. Yu, Y. Fu, and H. Hu.
    Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy. IEEE International Conference on Data Engineering (ICDE), 2025. (CCF-A)

    [4] L. Yu, Q. Ye, R. Du. PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy. SIGMOD 2025. (CCF-A)

    [5] Y. Fu, Q. Ye, R. Du, and H. Hu. Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.IEEE International Conference on Data Engineering (ICDE), 2024. (CCF-A)

    [6] R. Du, Q. Ye, Y. Fu, and H. Hu. Top-k Discovery under Local Differential Privacy: An Adaptive Sampling Approach. IEEE Transactions on Dependable and Secure Computing (TDSC), 2024. (CCF-A)

    [7] R. Du, Q. Ye, Y. Fu, H. Hu, J. Li, C. Fang, and J. Shi.
    Differential Aggregation against General Colluding Attackers.
    IEEE International Conference on Data Engineering (ICDE), 2023. (CCF-A)

    [8] D. Li, R. Du, Z. Liu, T. Yang and B. Cui. Multi-copy cuckoo hashing.IEEE International Conference on Data Engineering (ICDE), 2019. (CCF-A, co-first author)

    科研项目:
    2025青年科学基金项目(C类),主持,2026.01-2029.12