Evaluation of Membership Inference Attack Against Federated Learning With Differential Privacy on Edge Devices. - Rei Ueda; Tsunato Nakai; Kota Yoshida; Takeshi Fujino (GCCE, 2023)

Evaluation of Accuracy and Security on Deep Learning Model by Utilizing K-Anonymization With Attribute Selection for Reducing Computational Cost. - Rei Ueda; Kota Yoshida; Takeshi Fujino (GCCE, 2024)

Mitigation of Membership Inference Attack by Knowledge Distillation on Federated Learning. - Rei Ueda; Tsunato Nakai; Kota Yoshida; Takeshi Fujino (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)