| 2025 | ICA3PP | ZkGCN: Zero-Knowledge Based Verifiable Inference for Graph Convolutional Networks. | Hongfa Ding, Linjiang Wu, Yingxuan Luo, Heling Jiang |
| 2025 | TrustCom | PrivFGL: Differentially Private Federated Graph Learning via Personalized Data Transformation. | Songyan Zhang, Hanyu Lu, Hongfa Ding |
| 2024 | ICWS | VPCS: Verifiable Query Scheme for Privacy-preserving Constrained Shortest Path over Encrypted Graph Data. | Shiyun He, Hongfa Ding, Tian Tian, Hai Liu, Heling Jiang |
| 2024 | ISPA | Collecting Clustering Coefficient of Distributed Graph Data with Shuffled Differential Privacy. | Hongfa Ding, Peiwang Fu, Yingxuan Luo, Heling Jiang, Hai Liu |
| 2024 | MMM | A Secure and Fair Federated Learning Protocol Under the Universal Composability Framework. | Qiuxian Li, Quanxing Zhou, Hongfa Ding |
| 2021 | PDCAT | A Blockchain-Based Continuous Query Differential Privacy Algorithm. | Heng Ouyang, Hongqin Lyu, Shigong Long, Hai Liu, Hongfa Ding |
| 2019 | GLOBECOM | User Identity Authentication and Identification Based on Multi-Factor Behavior Features. | Xing Ding, Changgen Peng, Hongfa Ding, Maoni Wang, Hui Yang, Qinyong Yu |