Wang Songlei, PhD, is an Assistant Professor under the "Hundred Talents Program" at the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University.
Dr. Wang's research focuses on cloud data security, secure multi-party computation, and differential privacy. In the past five years, he has published 16 academic papers, including 8 as the first author (all published in CCF-A level conferences/journals). Among his first-author papers, one was published in the USENIX Security Symposium, one of the four top conferences in cyberspace security, and seven were published in top international journals such as IEEE TIFS, IEEE TKDE, and IEEE TSC. He serves as a reviewer for several international academic conferences/journals (such as IEEE TIFS, IEEE TDSC, IEEE TKDE, and DASFAA).
There are still master's places available for Fall 2025 enrollment. Students interested in information security (including secure multi-party computation, differential privacy, privacy-preserving machine learning, and large-scale model security) are welcome to inquire.
The research group has a vibrant atmosphere and emphasizes personalized training, tailoring research development paths to each student's career goals.
We also welcome undergraduate students interested in information security to join our research group for study and exchange.
Interested students can contact me at any time via email: songlei.wang@szu.edu.cn.
Representative papers:
[1]Songlei Wang, Yifeng Zheng, and Xiaohua Jia. GraphGuard: Private Time-Constrained Pattern Detection Over Streaming Graphs in the Cloud[C]. USENIX Security Symposium, 2024. (BIG4, CCF-A)
[2]Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Xun Yi. PeGraph: A System for Privacy-Preserving and Efficient Search Over Encrypted Social Graphs[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2022, 17: 3179-3194. (CCF-A)
[3]Songlei Wang, Yifeng Zheng, Xiaohua Jia, Hejiao Huang, and Cong Wang. OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2022, 17: 3582-3596. (CCF-A)
[4]Songlei Wang, Yifeng Zheng, Xiaohua Jia, Qian Wang, and Cong Wang. MAGO: Maliciously Secure Subgraph Counting on Decentralized Social Graphs[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2023, 18: 2929-2944. (CCF-A)
[5]Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Cong Wang. eGrass: An Encrypted Attributed Subgraph Matching System with Malicious Security[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2024, 19: 5999-6014. (CCF-A)
[6]Songlei Wang, Yifeng Zheng, Xiaohua Jia, and Xun Yi. Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(7): 7341-7356. (CCF-A)
[7]Songlei Wang, Yifeng Zheng, Xiaohua Jia, Hejiao Huang, and Cong Wang. PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(10): 10478-10496. (CCF-A)
[8]Songlei Wang, Yifeng Zheng, and Xiaohua Jia. SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service[J]. IEEE Transactions on Services Computing (TSC), 2023, 16(4): 2923-2938. (CCF-A)
