Privacy-Preserving Data Sharing Framework for High-Accurate Outsourced Computation. - Ximeng Liu; Tengfei Yang; Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao (ICC, 2019)

Privacy-preserving and high-accurate outsourced disease predictor on random forest. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu (Inf. Sci., 2019)

Flexible and Privacy-preserving Framework for Decentralized Collaborative Learning. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu; Wei Zheng; Xiang Li 166 (GLOBECOM, 2020)

Search Me in the Dark: Privacy-preserving Boolean Range Query over Encrypted Spatial Data. - Xiangyu Wang 010; Jianfeng Ma 001; Ximeng Liu; Robert H. Deng; Yinbin Miao; Dan Zhu 001; Zhuoran Ma 002 (INFOCOM, 2020)

PMKT: Privacy-preserving Multi-party Knowledge Transfer for financial market forecasting. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Kim-Kwang Raymond Choo; Ximeng Liu; Xiangyu Wang 010; Tengfei Yang (Future Gener. Comput. Syst., 2020)

Lightweight Privacy-preserving Medical Diagnosis in Edge Computing. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu; Kim-Kwang Raymond Choo; Ruikang Yang; Xiangyu Wang 010 (SERVICES, 2021)

ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Yingjiu Li; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2022)

Verifiable Data Mining Against Malicious Adversaries in Industrial Internet of Things. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu; Kim-Kwang Raymond Choo; Yu Gao; Robert H. Deng (IEEE Trans. Ind. Informatics, 2022)

Pocket Diagnosis: Secure Federated Learning Against Poisoning Attack in the Cloud. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu; Kim-Kwang Raymond Choo; Robert H. Deng (IEEE Trans. Serv. Comput., 2022)

Secondary Labeling: A Novel Labeling Strategy for Image Manipulation Detection. - Yang Wei 002; Bin Xiao 002; Xiuli Bi; Zhuoran Ma 002; Yang Liu 118; Zhuo Ma 001 (ACM Multimedia, 2023)

Sniffer: A Novel Model Type Detection System against Machine-Learning-as-a-Service Platforms. - Zhuo Ma 001; Yilong Yang 004; Bin Xiao 002; Yang Liu 118; Xinjing Liu; Zhuoran Ma 002; Tong Yang 003 (Proc. VLDB Endow., 2023)

VerifyTL: Secure and Verifiable Collaborative Transfer Learning. - Zhuoran Ma 002; Jianfeng Ma 001; Yinbin Miao; Ximeng Liu; Wei Zheng; Kim-Kwang Raymond Choo; Robert H. Deng (IEEE Trans. Dependable Secur. Comput., 2023)

Effectively Improving Data Diversity of Substitute Training for Data-Free Black-Box Attack. - Yang Wei 002; Zhuo Ma 001; Zhuoran Ma 002; Zhan Qin; Yang Liu 118; Bin Xiao 002; Xiuli Bi; Jianfeng Ma 001 (IEEE Trans. Dependable Secur. Comput., 2024)

FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings. - Zhuoran Ma 002; Yang Liu 118; Yinbin Miao; Guowen Xu; Ximeng Liu; Jianfeng Ma 001; Robert H. Deng (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive Robust Learning Against Backdoor Attacks in Smart Homes. - Jiahui Zhang; Zhuzhu Wang; Zhuoran Ma 002; Jianfeng Ma 001 (IEEE Internet Things J., 2024)

Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning. - Yang Wei 002; Jingyu Tan; Guowen Xu; Zhuoran Ma 002; Zhuo Ma 001; Bin Xiao 002 (AAAI, 2025)

Enabling Efficient and Privacy-Preserving Sequence Similarity Query on Encrypted Genomes. - Chen Gong; Xiangyu Wang 010; Dan Zhu 001; Cheng Huang 001; Zhuoran Ma 002; Jian Feng Ma 001 (IEEE Trans. Dependable Secur. Comput., 2025)

FedGhost: Data-Free Model Poisoning Enhancement in Federated Learning. - Zhuoran Ma 002; Xinyi Huang 001; Zhuzhu Wang; Zhan Qin; Xiangyu Wang 010; Jianfeng Ma 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Catch Me If You Can: Retain High Stealthiness and Durability of Backdoor Attack in Federated Learning. - Yilong Yang 004; Xinjing Liu; Zefeng Wu; Zhuoran Ma 002; Yong Zeng 002; Xianjia Meng; Zhuo Ma 001 (IEEE Trans. Inf. Forensics Secur., 2026)