Publication

The following is a list of my publications. You can find more information via DBLP or Google Scholar.

  2024
  • Differentially Private Graph Neural Networks for Link Prediction
    Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
    IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2024.
  • PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
    Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
    IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2024.
  • Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
    Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
    IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2024.
  • LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
    Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
    IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2024.
  • FRESH: Towards Efficient Graph Queries in an Outsourced Graph
    Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou
    IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2024.
  • DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
    Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
    The Proceedings of the VLDB Endowment (PVLDB), accepted to appear, 2024.
  • LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-dimensional Space
    Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
    IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted to appear, 2024.
  • LDPGuard: Defenses against Data Poisoning Attacks to Local Differential Privacy Protocols
    Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou
    IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted to appear, 2024.
  • A Federated Learning Framework Based on Differentially Private Continuous Data Release
    Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang
    IEEE Transactions on Dependable and Secure Computing (TDSC), accepted to appear, 2024.
  • RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices
    Ronghua Li, Haibo Hu, Qingqing Ye
    IEEE Transactions on Information Forensics and Security (TIFS), accepted to appear, 2024.
  • LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy
    Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang
    International Conference on Database Systems for Advanced Applications (DASFAA), accepted to appear, 2024.
  • Time-Specific Integrity Service in MQTT Protocol
    Haotian Yan, Haibo Hu, Qingqing Ye
    ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), accepted to appear, 2024.
  • Multi-hop Sanitizable Signature for Collaborative Edge Computing
    Haotian Yan, Haibo Hu, Qingqing Ye, Jianliang Xu
    Journal of Computer Security, accepted to appear, 2024.
  • DWSSA: Alleviating Over-Smoothness for Deep Graph Neural Networks
    Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xintong Chen, Yanggeng Fu
    Neural Networks, accepted to appear, 2024.
  2023
  • Trajectory Data Collection with Local Differential Privacy
    Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
    The Proceedings of the VLDB Endowment (PVLDB), 16(10): 2591-2604, 2023.
  • 3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning
    Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
    IEEE Symposium on Security and Privacy (S&P), pp 1893-1907, 2023.
  • Differential Aggregation against General Colluding Attackers
    Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
    IEEE International Conference on Data Engineering (ICDE), pp 2180-2193, 2023.
  • Stateful Switch: Optimized Time Series Release with Local Differential Privacy
    Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
    IEEE International Conference on Computer Communications (INFOCOM), pp 1-10, 2023.
  • TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
    Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
    ACM International Conference of Management of Data (SIGMOD), 1(1): 51:1-51:26, 2023.
  • EPS2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model
    Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
    IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted to appear, 2023.
  • PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization
    Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(1): 296-310, 2023.
  • TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
    Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou
    IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted to appear, 2023.
  • Utility-Aware Time Series Data Release with Anomalies under TLDP
    Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu,
    IEEE Transactions on Mobile Computing (TMC), accepted to appear, 2023.
  • Collaborative Sampling for Partial Multi-dimensional Value Collection under Local Differential Privacy
    Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li
    IEEE Transactions on Information Forensics and Security (TIFS), 18: 3948-3961, 2023.
  • Towards Defending Against Byzantine LDP Amplified Gain Attacks
    Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
    International Conference on Database Systems for Advanced Applications (DASFAA), pp 627-643, 2023.
  • Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy
    Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
    ACM Transactions on Sensor Networks (TOSN), accepted to appear, 2023.
  • Secure Traffic Monitoring with Spatio-temporal Metadata Protection Using Oblivious RAM
    Li Tang, Qingqing Ye, Haibo Hu, Man Ho Au
    IEEE Transactions on Intelligent Transportation Systems (TITS), accepted to appear, 2023.
  • Synthesizing Realistic Trajectory Data with Differential Privacy
    Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, Jie Xu
    IEEE Transactions on Intelligent Transportation Systems (TITS), 24(5): 5502-5515, 2023.
  • DeepMark: A Scalable and Robust Framework for DeepFake Video Detection
    Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li
    ACM Transactions on Privacy and Security (TOPS), 27(1): 9:1-9:26, 2024.
  • Partial Message Verification in Fog-based Industrial Internet of Things
    Haotian Yan, Haibo Hu, Qingqing Ye
    Computers & Security, 135: 103530, 2023.
  • CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks
    Haoze Tian, Haibo Hu, Qingqing Ye
    IEEE International Conference on Big Data, pp 554-561, 2023.
  2022
  • LF-GDPR: A Framework for Estimating Graph Metrics with Local Differential Privacy
    Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(10): 4905-4920, 2022.
  • MExMI: Pool-based Active Model Extraction Crossover Membership Inference
    Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
    Advances in Neural Information Processing Systems (NeurIPS), accepted to appear, 2022.
  • Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space
    Jiawei Duan, Qingqing Ye, Haibo Hu
    IEEE International Conference on Data Engineering (ICDE), pp 407-419, 2022.
  • VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases
    Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou
    The Proceedings of the VLDB Endowment (PVLDB), 15(12): 3634-3637, 2022.
  • DDRM: A Continual Frequency Estimation Mechanism with Local Differential Privacy
    Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(7): 6784-6797, 2023.
  • Protecting Decision Boundary of Machine Learning Model with Differentially Private Perturbation
    Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
    IEEE Transactions on Dependable and Secure Computing (TDSC), 19(3): 2007-2022, 2022.
  • Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications
    Xiao Yang, Mengling Liu, Man Ho Au, Xiapu Luo, Qingqing Ye
    IEEE Transactions on Information Forensics and Security (TIFS), 17: 1573-1582, 2022.
  • Privacy and Efficiency Guaranteed Social Subgraph Matching
    Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou
    VLDB Journal (VLDBJ), 31(3): 581-602, 2022.
  • OTKI-F: An Efficient Memory-Secure Multi-keyword Fuzzy Search Protocol
    Ziyang Han, Qingqing Ye, Haibo Hu
    Journal of Computer Security, 31(2): 129-152, 2023.
  • SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things
    Haotian Yan, Haibo Hu, Qingqing Ye, Li Tang
    IEEE Transactions on Network and Service Management (TNSM), 19(3): 3453-3464, 2022.
  • Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in A Privacy-Preserving Way
    Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
    APWeb-WAIM International Joint Conference on Web and Big Data, pp 309-317, 2022.
  • Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System
    Li Tang, Qingqing Ye, Huadi Zheng, Haibo Hu, Ziyang Han, Ngai-Fong Law
    IEEE Internet of Things Journal, 9(19): 19373-19386, 2022.
  • Efficient and Lightweight Indexing Approach for Multi-dimensional Historical Data in Blockchain
    Bikash Chandra Singh, Qingqing Ye, Haibo Hu, Bin Xiao
    Future Generation Computer Systems, 139: 210-223, 2023.
  2021
  • Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting
    Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan
    IEEE International Conference on Computer Communications (INFOCOM), pp 1-10, 2021.
  • PrivKVM*: Revisiting Key-Value Statistics Estimation with Local Differential Privacy
    Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
    IEEE Transactions on Dependable and Secure Computing (TDSC), 20(1): 17-35, 2023.
  • ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-isomorphism and Hardware Enclave
    Ziyang Han, Haibo Hu, Qingqing Ye
    IEEE Transactions on Cloud Computing (TCC), 11(2): 1474-1486, 2023.
  • Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy
    Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
    International Conference on Sensing, Communication and Networking (SECON), pp 1-9, 2021.
  • Privacy Risk Quantification of Mobile Application Based on Requested Permissions
    Minjie Zhu, Qingqing Ye, Xiaofeng Meng, Xin Yang
    Sci Sin Inform, 51(7): 1100-1115, 2021.
2020 and Before
  • Towards Locally Differentially Private Generic Graph Metric Estimation
    Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
    Proc. of the 36th IEEE International Conference on Data Engineering (ICDE), pp 1922-1925, 2020.
  • Practical Escrow Protocol for Bitcoin
    Xiao Yang, Wang Fat Law, Qingqing Ye, Man Ho Au, Joseph K. Liu, Jacob Cheng
    IEEE Transactions on Information Forensics and Security (TIFS), 15: 3023-3034, 2020.
  • PrivKV: Key-Value Data Collection with Local Differential Privacy
    Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng
    Proc. of 40th IEEE Symposium on Security and Privacy (S&P), pp 317-331, 2019.
  • Local Differential Privacy: Tools, Challenges and Opportunities
    Qingqing Ye, Haibo Hu
    Proc. of the 20th International Conference on Web Information Systems Engineering (WISE), pp 13-23, 2019.
  • BDPL: A Boundary Differential Private Layer against Machine Learning Model Extraction Attacks
    Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, and Jie Shi
    Proc. of the 24th European Symposium on Research in Computer Security (ESORICS), pp 66-83, 2019.
  • Mobile Data Collection and Analysis with Local Differential Privacy
    Ninghui Li, Qingqing Ye
    Proc. of 20th IEEE International Conference on Mobile Data Management (MDM), pp 4-7, 2019.
  • AppPrivacy: Analyzing Data Collection and Privacy Leakage from Mobile App
    Minjie Zhu, Qingqing Ye, Xin Yang, Xiaofeng Meng, Haibo Hu.
    (poster) IEEE Symposium on Security and Privacy (S&P), pp 1-2, 2019.
  • Survey on Local Differential Privacy
    Qingqing Ye, Xiaofeng Meng, Minjie Zhu, Zheng Huo
    Journal of Software, 29(7):1981-2005, 2018.
  • A Classification Approach Based on Improved Belief Rule-Base Reasoning
    Qingqing Ye, Longhao Yang, Yanggeng Fu, Xiaocong Chen
    Journal of Frontiers of Computer Science and Technology
    , 10(5):709-721, 2016.

Patents

  • Method and apparatus for collecting key-value pair data
    Qingqing Ye, Haibo Hu
    US Patent App.,17/108,780, Mar. 2021.
  • Data theft prevention method and related product
    Haibo Hu, Huadi Zheng, Qingqing Ye, Chengfang Fang, Jie Shi
    US Patent App.,17/698,619, Jun. 2022.
  • 键值对数据的收集方法和装置
    Qingqing Ye, Haibo Hu
    中国专利发明,CN110968612A, Apr. 2020.
  • 数据防窃取方法和相关产品
    Haibo Hu, Huadi Zheng, Qingqing Ye, Chengfang Fang, Jie Shi
    中国专利发明,CN110795703A , Feb. 2020.