Boosting the accuracy of differentially private in weighted social networks. - Dan Wang; Shigong Long (Multim. Tools Appl., 2019)

Differential Privacy Protection and Game Analysis of Intelligent Transportation Data. - Junming Zhang; Jingru Wang; Shigong Long; Lun Wang; Xuejiao Wang; Renrui Zhang (PAAP, 2021)

A Blockchain-Based Continuous Query Differential Privacy Algorithm. - Heng Ouyang; Hongqin Lyu; Shigong Long; Hai Liu 007; Hongfa Ding (PDCAT, 2021)

Enhancing frequent location privacy-preserving strategy based on geo-Indistinguishability. - Huiwen Luo; Haoming Zhang; Shigong Long; Yi Lin (Multim. Tools Appl., 2021)

Balancing Privacy-Utility of Differential Privacy Mechanism: A Collaborative Perspective. - Hai Liu 007; Changgen Peng; Youliang Tian; Shigong Long; Zhenqiang Wu (Secur. Commun. Networks, 2021)

GDP vs. LDP: A Survey from the Perspective of Information-Theoretic Channel. - Hai Liu 007; Changgen Peng; Youliang Tian; Shigong Long; Feng Tian 004; Zhenqiang Wu (Entropy, 2022)

Structure-Attribute Social Network Graph Data Publishing Satisfying Differential Privacy. - Nannan Zhou; Shigong Long; Hai Liu 007; Hai Liu (Symmetry, 2022)

VFLF: A verifiable federated learning framework against malicious aggregators in Industrial Internet of Things. - Zhou Zhou 005; Youliang Tian; Changgen Peng; Nan Yang; Shigong Long (Concurr. Comput. Pract. Exp., 2023)

A federated learning scheme meets dynamic differential privacy. - Shengnan Guo; Xibin Wang; Shigong Long; Hai Liu 007; Liu Hai; Toong Hai Sam (CAAI Trans. Intell. Technol., 2023)

Federated learning privacy incentives: Reverse auctions and negotiations. - Hongqin Lyu; Yongxiong Zhang; Chao Wang; Shigong Long; Shengnan Guo (CAAI Trans. Intell. Technol., 2023)

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data. - Yang Zhang; Shigong Long; Guangyuan Liu 002; Junming Zhang (IEEE Access, 2025)

Vertical partitioned high-dimensional data publishing with differential privacy principal component analysis. - Junming Zhang; Jingru Wang; Shigong Long; Guangyuan Liu 002; Lun Wang; Di Yang (Neurocomputing, 2025)

Interval Mean Estimation Under (ε,δ)-Local Differential Privacy. - Junming Zhang; Jingru Wang; Shigong Long; Yanen Li; Lun Wang (IEEE Trans. Netw. Serv. Manag., 2025)