Qingqing Ye (Vicky)

Publication

  • M. Zhu, Q. Ye, X. Meng, X. Yang. Privacy Risk Quantification of Mobile Application Based on Requested Permissions. Sci Sin Inform, accepted to appear, 2020.
  • X. Yang, W. Law, Q. Ye, M. H. Au, J. Liu, J. Chen. Practical Escrow Protocol for Bitcoin. IEEE Transactions on Information Forensics and Security (TIFS), 2020, 15(1): 3023-3034.
  • Q. Ye, H. Hu, M. H. Au, X. Meng, X. Xiao. Towards Locally Differentially Private Generic Graph Metric Estimation. Proc. of the 36th IEEE International Conference on Data Engineering (ICDE’20), Dallas, USA, Apr. 2020, pp 1922-1925.
  • Q. Ye, H. Hu. Local Differential Privacy: Tools, Challenges and Opportunities. Proc. of the 20th International Conference on Web Information Systems Engineering (WISE ’19), Hong Kong, China, Jan. 2020, pp 13-23.
  • H. Zheng, Q. Ye, H. Hu, F. Cheng, and J. Shi. BDPL: A Boundary Differential Private Layer against Machine Learning Model Extraction Attacks. Proc. of the 24th European Symposium on Research in Computer Security (ESORICS ’19), Luxembourg, Sep. 2019, pp 66-83.
  • N. Li, Q. Ye. Mobile Data Collection and Analysis with Local Differential Privacy. Proc. of 20th IEEE International Conference on Mobile Data Management (MDM’19), Hong Kong, China, Jun. 2019, pp 4-7.
  • Q. Ye, H. Hu, X. Meng, and H. Zheng. PrivKV: Key-Value Data Collection with Local Differential Privacy. Proc. of 40th IEEE Symposium on Security and Privacy (SP’19), San Francisco, USA, May 2019, pp 317-331.
  • M. Zhu, Q. Ye, X. Yang, X. Meng, and H. Hu. AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App. (poster) Proc. of 40th IEEE Symposium on Security and Privacy (SP’19), San Francisco, USA, May 2019.
  • Q. Ye, X. Meng, M. Zhu, Z. Huo. Survey on Local Differential Privacy. Journal of Software, 2018, 29(7):1981-2005.
  • Q. Ye, L. Yang, Y. Fu, X. Chen. A Classification Approach Based on Improved Belief Rule-Base Reasoning. Journal of Frontiers of Computer Science and Technology, 2016, 10(5):709-721.