Batching Multiple Protocols to Improve Efficiency of Multi-Party Computation. - Naoto Kiribuchi; Ryo Kato; Takashi Nishide; Hiroshi Yoshiura (Inscrypt, 2011)

Accelerating Multiparty Computation by Efficient Random Number Bitwise-Sharing Protocols. - Naoto Kiribuchi; Ryo Kato; Takashi Nishide; Tsukasa Endo; Hiroshi Yoshiura (WISA, 2011)

Batch Logical Protocols for Efficient Multi-Party Computation. - Naoto Kiribuchi; Ryo Kato; Tsukasa Endo; Takashi Nishide; Hiroshi Yoshiura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Reducing Communication Complexity of Random Number Bitwise-Sharing for Efficient Multi-party Computation. - Naoto Kiribuchi; Ryo Kato; Takashi Nishide; Tsukasa Endo; Hiroshi Yoshiura (J. Inf. Process., 2012)

An Efficient Secure Three-Party Sorting Protocol with an Honest Majority. - Koji Chida; Koki Hamada; Dai Ikarashi; Ryo Kikuchi; Naoto Kiribuchi; Benny Pinkas (IACR Cryptol. ePrint Arch., 2019)

Restoring Unintended Model Learning by Error Correcting Code. - Nami Ashizawa; Toshiki Shibahara; Naoto Kiribuchi; Osamu Saisho; Naoto Yanai (ACSAC Workshops, 2024)

CAPT-AI: Study on AI Model Identification Using Ability Differences. - Seiya Kajihara; Takumi Takaiwa; Tsubasa Shibata; Nami Ashizawa; Naoto Kiribuchi; Toshiki Shibahara; Osamu Saisho; Tetsushi Ohki; Masakatsu Nishigaki (HCI (63), 2025)

Securing AI Systems: A Guide to Known Attacks and Impacts. - Naoto Kiribuchi; Kengo Zenitani; Takayuki Semitsu (CoRR, 2025)