The following is a list of my publications. You can find more information via DBLP or Google Scholar.
2025
- PrivIM: Differentially Private Graph Neural Networks for Influence Maximization
Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu
IEEE international Conference on Data Engineering (ICDE), accepted to appear, 2025.
- Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
IEEE international Conference on Data Engineering (ICDE), accepted to appear, 2025.
- Multi-class Item Mining under Local Differential Privacy
Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
IEEE international Conference on Data Engineering (ICDE), accepted to appear, 2025.
- AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
IEEE international Conference on Data Engineering (ICDE), accepted to appear, 2025.
- Analyzing and Optimizing Perturbation of DP-SGD Geometrically
Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2025.
- From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
IEEE Symposium on Security and Privacy (S&P), accepted to appear, 2025.
- Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
The Proceedings of the VLDB Endowment (PVLDB), accepted to appear, 2025.
- PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy
Liantong Yu, Qingqing Ye, Rong Du
ACM International Conference of Management of Data (SIGMOD), accepted to appear, 2025.
- Federated Heavy Hitter Analytics with Local Differential Privacy
Yuemin Zhang, Qingqing Ye, Haibo Hu
ACM International Conference of Management of Data (SIGMOD), accepted to appear, 2025.
- FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
Zitong Li, Qingqing Ye, Haibo Hu
The Web Conference (WWW), accepted to appear, 2025.
- MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective
Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
The Web Conference (WWW), accepted to appear, 2025.
- A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), accepted to appear, 2025.
- Exploring Intrinsic Alignments within Text Corpus
Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), accepted to appear, 2025.
- Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Sen Zhang, Qingqing Ye, Haibo Hu
IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2025.
- Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
He Xi, Kai Huang, Qingqing Ye, Haibo Hu
IEEE International Conference on Data Engineering (ICDE), accepted to appear, 2025.
- PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), accepted to appear, 2025.
- RMR: A Relative Membership Risk Measure for Machine Learning Models
Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi.
IEEE Transactions on Dependable and Secure Computing (TDSC), accepted to appear, 2025.
- Secure Bi-attribute Index: Batch Membership Tests over the Non-sensitive Attribute
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
Computers & Security, 104369, 2025.
- A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis
Longhao Yang, Danning Yu, Feifei Ye, Haibo Hu, Qingqing Ye
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(4): 2961-2973, 2025.
2024
- PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
The Proceedings of the VLDB Endowment (PVLDB), 17(11):3031-3044, 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), 17(6):1200-1213, 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), pp 1632-1644, 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), pp 1739-1751, 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), pp 3587-3599, 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), pp 1619-1631, 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), pp 4545-4557, 2024.
- Membership Inference Attacks and Defenses in Federated Learning: A Survey
Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
ACM Computing Surveys, 57(4): 1-35, 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), 36(8): 3948-3962, 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), 36(7): 3195-3209, 2024.
- Top-k Discovery under Local Differential Privacy: An Adaptive Sampling Approach
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang
IEEE Transactions on Dependable and Secure Computing (TDSC), 22(2): 1763-1780, 2025.
- 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), 21(5): 4879-4894, 2024.
- Generating Location Traces with Semantic-Constrained Local Differential Privacy
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu, Weizhe Zhang
IEEE Transactions on Information Forensics and Security (TIFS), 19: 9850-9865, 2024.
- Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning
Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu
IEEE Transactions on Information Forensics and Security (TIFS), 19: 10287-10301, 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), 19: 5925-5939, 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), 17 (11): 3031-3044, 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), pp 113-125, 2024.
- A Survey on Securing Image-Centric Edge Intelligence
Li Tang, Haibo Hu, Moncef Gabbouj, Qingqing Ye, Yang Xiang, Jin Li, Lang Li
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), accepted to appear, 2024.
- Differential Privacy for Time Series: A Survey
Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
Data Engineering, 47(2): 47-92, 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, 174: 106228, 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), 36(11): 6084-6098, 2024.
- 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), 36(5):2224-2238, 2024.
- Utility-Aware Time Series Data Release with Anomalies under TLDP
Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu,
IEEE Transactions on Mobile Computing (TMC), 23(6): 7135-7147, 2024.
- 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), 15(14): 3573, 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), 24(12): 14903-14913, 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): 1-26, 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), 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.