Ekanut Sotthiwat

According to our database, Ekanut Sotthiwat authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Safeguarding Federated Learning From Data Reconstruction Attacks via Gradient Dropout.

Ekanut Sotthiwat, Chi Zhang, Xiaokui Xiao, Liangli Zhen

IEEE Trans. Inf. Forensics Secur., 2026

2025

Generative Image Reconstruction From Gradients.

Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning.

Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li

IEEE Trans. Big Data, December, 2024

2023

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.

Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Partially Encrypted Multi-Party Computation for Federated Learning.

Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

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

2018

Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance.

Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018