Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. - Zengxiang Li; Zhe Xiao; Quanqing Xu; Ekanut Sotthiwat; Rick Siow Mong Goh; Xueping Liang (ICPADS, 2018)

Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. - Zhe Xiao; Zengxiang Li; Yechao Yang; Piao Chen; Ryan Wen Liu; Wei Jing; Yauheni Pyrloh; Ekanut Sotthiwat; Rick Siow Mong Goh (IEEE Trans. Comput. Soc. Syst., 2020)

Partially Encrypted Multi-Party Computation for Federated Learning. - Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li; Chi Zhang 007 (CCGRID, 2021)

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. - Chi Zhang 007; Xiaoman Zhang; Ekanut Sotthiwat; Yanyu Xu; Ping Liu; Liangli Zhen; Yong Liu 026 (ICCV, 2023)

Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. - Chi Zhang 007; Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li (IEEE Trans. Big Data, 2024)

Generative Image Reconstruction From Gradients. - Ekanut Sotthiwat; Liangli Zhen; Chi Zhang 007; Zengxiang Li; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2025)