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.