Side-channel attack resistant AES cryptographic circuits with ROM reducing address-dependent EM leaks. - Tsunato Nakai; Megumi Shibatani; Mitsuru Shiozaki; Takaya Kubota; Takeshi Fujino (ISCAS, 2014)

Tamper-resistant authentication system with side-channel attack resistant AES and PUF using MDR-ROM. - Mitsuru Shiozaki; Takaya Kubota; Tsunato Nakai; Akihiro Takeuchi; Takashi Nishimura; Takeshi Fujino (ISCAS, 2015)

A Trusted Approach to Design a Network Monitor. - Koichi Shimizu; Teruyoshi Yamaguchi; Tsunato Nakai; Takeshi Ueda; Nobuhiro Kobayashi; Benoît Boyer (FormaliSE@ICSE, 2017)

Intrusion Detection Method Using Enhanced Whitelist Based on Cooperation of System Development, System Deployment, and Device Development Domains in CPS. - Nobuhiro Kobayashi; Koichi Shimizu; Tsunato Nakai; Teruyoshi Yamaguchi; Masakatsu Nishigaki (NBiS, 2018)

Whitelisting Cyber Attack Detection according to Estimated Operational States for CPS. - Tsunato Nakai; Sachihiro Ichikawa; Nobuhiro Kobayashi; Kosuke Hata; Kenji Sawada (INDIN, 2019)

Towards Trained Model Confidentiality and Integrity Using Trusted Execution Environments. - Tsunato Nakai; Daisuke Suzuki; Takeshi Fujino (ACNS Workshops, 2021)

Adversarial Black-Box Attacks with Timing Side-Channel Leakage. - Tsunato Nakai; Daisuke Suzuki; Fumio Omatsu; Takeshi Fujino (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Embedded Devices. - Tsunato Nakai; Daisuke Suzuki; Takeshi Fujino (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021)

Towards Isolated AI Accelerators with OP-TEE on SoC-FPGAs. - Tsunato Nakai; Daisuke Suzuki; Takeshi Fujino (ACNS Workshops, 2022)

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

Does Prompt-tuning Enhance Privacy in Large Language Models? - Tsunato Nakai; Kento Oonishi; Takuya Higashi (ACSAC Workshops, 2024)

Co-designing Trusted Execution Environment and Model Encryption for Secure High-Performance DNN Inference on FPGAs. - Tsunato Nakai; Ryo Yamamoto (ISCAS, 2024)

SEDMA: Self-Distillation with Model Aggregation for Membership Privacy. - Tsunato Nakai; Ye Wang; Kota Yoshida; Takeshi Fujino (Proc. Priv. Enhancing Technol., 2024)

Universal Shape of Strong Remote Adversarial Patches for Object Detection with Convolutional Neural Networks. - Kento Oonishi; Tsunato Nakai (CVPR Workshops, 2025)

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)