Fundamental Limits of Data Utility: A Case Study for Data-Driven Identity Authentication. - Qing Yang 016; Cheng Wang 001; Changqi Wang; Teng Hu; Changjun Jiang (IEEE Trans. Comput. Soc. Syst., 2021)

Implicit privacy preservation: a framework based on data generation. - Qing Yang 016; Cheng Wang 001; Teng Hu; Xue Chen; Changjun Jiang (Secur. Saf., 2022)

Hard Anomaly Detection: An Adversarial Data Augmentation Solution. - Teng Hu; Cheng Wang 001; Qing Yang 016; Xue Chen (ICDM (Workshops), 2023)

Locally differentially private high-dimensional data synthesis. - Xue Chen; Cheng Wang 001; Qing Yang 016; Teng Hu; Changjun Jiang (Sci. China Inf. Sci., 2023)

The Opportunity in Difficulty: A Dynamic Privacy Budget Allocation Mechanism for Privacy-Preserving Multi-dimensional Data Collection. - Xue Chen; Cheng Wang 001; Qing Yang 016; Teng Hu; Changjun Jiang (ACM Trans. Manag. Inf. Syst., 2023)

Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation. - Xue Chen; Cheng Wang 001; Jipeng Cui; Qing Yang 016; Teng Hu; Changjun Jiang (IEEE Trans. Big Data, 2023)

Approaching the Information-Theoretic Limit of Privacy Disclosure With Utility Guarantees. - Qing Yang 016; Cheng Wang 001; Haifeng Yuan; Jipeng Cui; Teng Hu; Xue Chen; Changjun Jiang (IEEE Trans. Inf. Forensics Secur., 2024)

Leveraging Adversarial Augmentation on Imbalance Data for Online Trading Fraud Detection. - Teng Hu; Cheng Wang 001; Qing Yang 016; Xue Chen; Rui Li 047 (IEEE Trans. Comput. Soc. Syst., 2024)

Privacy Passport: Privacy-Preserving Cross-Domain Data Sharing. - Xue Chen; Cheng Wang 001; Qing Yang 016; Teng Hu; Changjun Jiang (IEEE Trans. Inf. Forensics Secur., 2025)