Research output per year
Research output per year
Personal profile
Biography
Dr. Ye Qingqing received her PhD degree from Renmin University of China in 2020, and joined the Hong Kong Polytechnic University as a Research Assistant Professor since then. In 2022, she was appointed as an Assistant Professor in the Hong Kong Polytechnic University. Her research interests include data privacy and security, and adversarial machine learning. She has published a series of flagship conference papers and top-tier journal papers in related areas, including IEEE S&P, SIGMOD, VLDB, ICDE, INFOCOM, NuerIPS, VLDBJ, TKDE, TMC, TDSC, TIFS, etc. She is the recipient of several prestigious awards, including RGC Early Career Award, IEEE S&P Travel Award, National Scholarship, etc. She serves as a reviewer and TPC member for top-tier journals and conferences, including ICDE, VLDB, ICML, NeurIPS, SIGKDD, AAAI, CCS, TKDE, TDSC, TIFS, TOPS, etc.
Research interests
Data privacy and security, Adversarial machine learning
Education/Academic qualification
Bachelor of Engineering, Fuzhou University
Doctor of Philosophy, Renmin University of China
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Collaborations and top research areas from the last five years
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Research output
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A Federated Learning Framework Based on Differentially Private Continuous Data Release
Cai, J., Liu, X., Ye, Q., Liu, Y. & Wang, Y., Feb 2024, In: IEEE Transactions on Dependable and Secure Computing. p. 1-16 16 p., 10426793.Research output: Journal article publication › Journal article › Academic research › peer-review
1 Citation (Scopus) -
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks
Tian, H., Hu, H. & Ye, Q., Jan 2024, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J.C.-W. & Agrawal, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 554-561 8 p. 10386501. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
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DeepMark: A Scalable and Robust Framework for DeepFake Video Detection
Tang, L., Ye, Q., Hu, H., Xue, Q., Xiao, Y. & Li, J., 6 Feb 2024, In: ACM Transactions on Privacy and Security. 27, 1, p. 1-26 9.Research output: Journal article publication › Journal article › Academic research › peer-review
Open Access -
Differentially Private Graph Neural Networks for Link Prediction
Ran, X., Ye, Q. (Corresponding Author), Hu, H., Huang, X., Xu, J. & Fu, J., 2024, (Accepted/In press) EEE International Conference on Data Engineering (ICDE).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
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DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Fu, J., Ye, Q., Hu, H., Chen, Z., Wang, L., Wang, K. & Ran, X., Aug 2024, In: Proceedings of the VLDB Endowment. 17, 6, p. 1200-1213 14 p., 306059.Research output: Journal article publication › Conference article › Academic research › peer-review
Open Access