Jiaqi Zhao

17 papers B 2Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Achieving Privacy-Preserving and High-Accuracy Collection of Key-Value Data With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Junpeng Zhang, Hui Zhu, Jiaqi Zhao, Mengqian Li, Shuang Zhang, Bin Xie, Hui Li
2026 J jnl
Collusion-Resistant Privacy-Preserving Outsourced Training Under Single Cloud With Semi-Honest TEE.
IEEE Trans. Dependable Secur. Comput.
Wei Xu, Hui Zhu, Guozhang He, Jingqiang Lin, Jiaqi Zhao, Rongxing Lu, Dengguo Feng
2026 J jnl
SXGB: Secure and Efficient Vertical Federated XGBoost via Trusted Execution Environments.
IEEE Trans. Dependable Secur. Comput.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li
2025 J jnl
COKV: Key-Value Data Collection With Condensed Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Junpeng Zhang, Hui Zhu, Jiaqi Zhao, Rongxing Lu, Yandong Zheng, Jiezhen Tang, Hui Li
2025 J jnl
SGBoost
IEEE Trans. Inf. Forensics Secur.
Wei Xu, Hui Zhu, Jiaqi Zhao, Yandong Zheng, Fengwei Wang, Baishun Sun, Songnian Zhang, Dengguo Feng
2025 J jnl
SplitAD: A lightweight and privacy-enhancing vertical federated anomaly detection framework based on hierarchical autoencoders.
Inf. Sci.
Jiaqi Zhao, Hui Zhu, Junpeng Zhang, Jiezhen Tang, Fengwei Wang, Hui Li
2024 J jnl
ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning.
IEEE Trans. Serv. Comput.
Wei Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Jiaqi Zhao, Zhe Liu, Hui Li
2024 J jnl
Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries.
IEEE Trans. Serv. Comput.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Yandong Zheng, Rongxing Lu, Hui Li
2024 B conf
UNIRE: Secure Trajectory-User Linking Model Aggregation with Knowledge Transfer.
TrustCom
Jiezhen Tang, Hui Zhu, Yandong Zheng, Junpeng Zhang, Fengwei Wang, Jiaqi Zhao, Hui Li
2023 B conf
Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data.
GLOBECOM
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li
2023 J jnl
Efficient and privacy-preserving tree-based inference via additive homomorphic encryption.
Inf. Sci.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li
2023 J jnl
SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework.
IEEE Trans. Inf. Forensics Secur.
Jiaqi Zhao, Hui Zhu, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li
2023 J jnl
VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression.
IEEE Trans. Cloud Comput.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Ermei Wang, Linfeng Li, Hui Li
2022 J jnl
ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned data.
Sci. China Inf. Sci.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Zhongmin Zhou, Haitao Wan
2022 J jnl
An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling Services.
IEEE Internet Things J.
Qi Xu, Hui Zhu, Yandong Zheng, Jiaqi Zhao, Rongxing Lu, Hui Li
2022 J jnl
CORK: A privacy-preserving and lossless federated learning scheme for deep neural network.
Inf. Sci.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Jingwei Tu, Jie Shen
2022 J jnl
PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework.
IEEE Trans. Inf. Forensics Secur.
Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Zhe Liu, Hui Li