Bio
Hongfa is an assistant professor at Guizhou University of Finance and Economics. Concurrently, he is working with Prof. Changgen Peng as a postdoc fellow at State Key Laboratory of Public Big Data, Guiyang. His research interests include security & privacy of mechine learning, graph data, genomic data, data opening and sharing, etc..
News
- Nov. 2020. [Congrats!] Qi He is supported by GUFE Foundation with a Graduate Fund.
- Sept. 2020. [Congrats!] Hongfa is supported by the NSFC with an Youth Fund.News
- Jul. 2020. [Congrats!] Hongfa is supported by the China Postdoctoral Foundation as a postdoc fellow at Guizhou University.News
- Apr. 2020. 欢迎报考、调剂贵州财经大学计算机科学与技术硕士研究生。
- Jan. 2020. Our paper entitled “隐私保护的信息熵模型及其度量方法” is selected as one of high-impact papers of Journal of Software, 2018. 链接
Selected Publications
- Hongfa Ding, Youliang Tian*, Changgen Peng*, Youshan Zhang, Shuwen Xiang. Inference attacks on genomic privacy with an improved HMM and an RCNN model for unrelated individuals. Information Sciences, 2020, 512: 207-218. DOI: 10.1016/j.ins.2019.09.036
- 丁红发,彭长根,田有亮,向淑文. 基于演化博弈的隐私风险自适应访问控制模型. 通信学报, 2019, 40(12): 9-20. pdf
- Hongfa Ding, Changgen Peng*, Youliang Tian, Shuwen Xiang. A risk adaptive access control model based on Markov for big data in the cloud, International Journal of High Performance Computing and Networking, 2019, 13(4):464-475.DOI:10.1504/IJHPCN.2019.099269
- Hongfa Ding, Changgen Peng*, Youliang Tian, Shuwen Xiang. A Game Theoretical Analysis of Risk Adaptive Access Control for Privacy Preserving, in Proc. of 2019 International Conference on Networking and Network Applications (NaNA), 2019, Daegu, Korea. DOI: 10.1109/NaNA.2019.00052
- Xing Ding, Changgen Peng*, Hongfa Ding, Maoni Wang, Hui Yang, Qinyong Yu. User Identity Authentication and Identification Based on Multi-Factor Behavior Features. GLOBECOM Workshops 2019: 1-6. DOI: 10.1109/GCWkshps45667.2019.9024581
- 彭长根,丁红发,朱义杰,田有亮,符祖峰.隐私保护的信息熵模型及其度量方法.软件学报,2016,27(08):1891-1903. pdf
Projects
Here are several under going projects of our research team, and you are welcome to contact me.
- Privacy quantification of networks
- Privacy inference attack of graph
- Privacy preserving graph mining
- Anonymization of graph