Lastest Update: 15th Oct 2023 中文版本 (Chinese Version)
期刊论文（Journal Paper）
- Event-set differential privacy for fine-grained data privacy protection
Teng Wang, Wanyun Yang, Xin Ma, Bin Wang. Event-set differential privacy for fine-grained data privacy protection. Neurocomputing, 2023, 515:48-58. - Locally Private High-dimensional Crowdsourced Data Release based on Copula Functions
Teng Wang, Xinyu Yang, Xuebin Ren, Wei Yu, Shusen Yang. Locally Private High-dimensional Crowdsourced Data Release based on Copula Functions. IEEE Transactions on Services Computing, 2022, 15(2): 778-792. - Local Differential Privacy-based Frequent Sequence Mining
Teng Wang, Zhi Hu. Local Differential Privacy-based Frequent Sequence Mining. Journal of King Saud University-Computer and Information Science, 2022, 426: 3591-3601. - Local Differential Privacy for Data Collection and Analysis
Teng Wang, Jun Zhao, Zhi Hu, Xinyu Yang, Xuebin Ren, and Kwok-Yan Lam. Local Differential Privacy for Data Collection and Analysis. Neurocomputing, 2021, 426:114-133. - Survey on Improving Data Utility in Differentially Private Sequential Data Publishing
Xinyu Yang, Teng Wang, Xuebin Ren, Wei Yu. Survey on Improving Data Utility in Differentially Private Sequential Data Publishing. IEEE Transactions on Big Data, 2021, 7(4):729-749. - A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Teng Wang, Xuefeng Zhang, Jingyu Feng, Xinyu Yang. A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis. Sensors, 2020, 20(24): 1-47. - 面向数据流发布的数据自适应隐私保护机制
Teng Wang, Xinyu Yang, Xuebin Ren, Jun Zhao. Data-Adaptive Privacy-preserving Mechanism for Data Stream Publishing in Real-time. SCIENCE CHINA Information Sciences, 2020: 1-15. (面向数据流发布的数据自适应隐私保护机制. 中国科学: 信息科 学, 2020: 1-15.) -
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, et al. Local Differential Privacy based Federated Learning for Internet of Things. IEEE Internet of Things Journal (IoTJ), 2020, PP:1-18.
会议论文（Conference Paper）
- Real-Time Stream Statistics via Local Differential Privacy in Mobile Crowdsensing
Teng Wang and Zhi Hu. Real-Time Stream Statistics via Local Differential Privacy in Mobile Crowdsensing. In International Conference on Mobile Multimedia Communications, pp. 432-445. Cham: Springer International Publishing, 2021. - Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi. Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. ACM CIKM, 2019: 1311-1320. - Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT
Teng Wang, Xinyu Yang, Xuebin Ren, Jun Zhao, Kwok-Yan Lam. Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT. IEEE IPCCC, 2019: 1-8. - Copula-based Multi-dimensional Crowdsourced Data Synthesis and Release with Local Privacy
Xinyu Yang, Teng Wang, Xuebin Ren, and Wei Yu. Copula-based Multi-dimensional Crowdsourced Data Synthesis and Release with Local Privacy. IEEE GLOBECOM, 2017:1-6. -
[Strict Differentially Private Support Vector Machines with Dimensionality Reduction]
Teng Wang, Shuanggen Liu, Jiangguo Liang, Shuai Wang, Lu Wang, Junying Song. Strict Differentially Private Support Vector Machines with Dimensionality Reduction. International Conference on Artificial Intelligence Security and Privacy (AIS&P 2023).