Towards Practical k-Anonymization: Correlation-based Construction of Generalization Hierarchy. - Tomoaki Mimoto; Anirban Basu 001; Shinsaku Kiyomoto (SECRYPT, 2016)

(p, N)-identifiability: Anonymity under Practical Adversaries. - Tomoaki Mimoto; Shinsaku Kiyomoto; Katsuya Tanaka; Atsuko Miyaji (TrustCom/BigDataSE/ICESS, 2017)

The Possibility of Matrix Decomposition as Anonymization and Evaluation for Time-sequence Data. - Tomoaki Mimoto; Shinsaku Kiyomoto; Seira Hidano; Anirban Basu 001; Atsuko Miyaji (PST, 2018)

A Taxonomy of Secure Two-Party Comparison Protocols and Efficient Constructions. - Nuttapong Attrapadung; Goichiro Hanaoka; Shinsaku Kiyomoto; Tomoaki Mimoto; Jacob C. N. Schuldt (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Secure Data Management Technology. - Tomoaki Mimoto; Shinsaku Kiyomoto; Atsuko Miyaji (Security Infrastructure Technology for Integrated Utilization of Big Data, 2020)

A Practical Privacy-Preserving Algorithm for Document Data. - Tomoaki Mimoto; Shinsaku Kiyomoto; Koji Kitamura; Atsuko Miyaji (TrustCom, 2020)

Anonymization Technique Based on SGD Matrix Factorization. - Tomoaki Mimoto; Seira Hidano; Shinsaku Kiyomoto; Atsuko Miyaji (IEICE Trans. Inf. Syst., 2020)

Privacy Risk of Document Data and a Countermeasure Framework. - Tomoaki Mimoto; Masayuki Hashimoto; Shinsaku Kiyomoto; Koji Kitamura; Atsuko Miyaji (J. Inf. Process., 2021)

Differential Privacy under Incalculable Sensitivity. - Tomoaki Mimoto; Masayuki Hashimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno (CSP, 2022)

Privacy-Preserving Data Analysis without Trusted Third Party. - Atsuko Miyaji; Tomoka Takahashi; Ping-Lun Wang; Tatsuhiro Yamatsuki; Tomoaki Mimoto (TrustCom, 2022)

Privacy-Preserving Frequency Estimation Method. - Naoki Kawahara; Atsuko Miyaji; Tomoaki Mimoto (AsiaJCIS, 2023)

Re-visited Privacy-Preserving Machine Learning. - Atsuko Miyaji; Tatsuhiro Yamatsuki; Bingchang He; Shintaro Yamashita; Tomoaki Mimoto (PST, 2023)

Hierarchical Local Differential Privacy. - Tomoaki Mimoto; Takashi Matsunaka; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara (J. Inf. Process., 2023)

Privacy-Preserving Correlation Coefficient. - Tomoaki Mimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Masayuki Hashimoto; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno (IEICE Trans. Inf. Syst., 2023)

Linkage Between CVE and ATT&CK with Public Information. - Tomoaki Mimoto; Yuta Gempei; Kentaro Kita; Takamasa Isohara; Shinsaku Kiyomoto; Toshiaki Tanaka (SECRYPT, 2024)

Prioritization of Exploit Codes on GitHub for Better Vulnerability Triage. - Kentaro Kita; Yuta Gempei; Tomoaki Mimoto; Takamasa Isohara; Shinsaku Kiyomoto; Toshiaki Tanaka (ICISSP (1), 2025)

Scalable Unified Privacy-Preserving Machine Learning Framework (SUPM). - Atsuko Miyaji; Tatsuhiro Yamatsuki; Tomoka Takahashi; Ping-Lun Wang; Tomoaki Mimoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)