A K-Anonymity Method Based on SEM (Search Engine Marketing) Price of Personal Information. - Hidenobu Oguri; Noboru Sonehara (SocialCom, 2013)

A k-anonymity method based on search engine query statistics for disaster impact statements. - Hidenobu Oguri; Noboru Sonehara (ARES, 2014)

Ice and Fire: Quantifying the Risk of Re-identification and Utility in Data Anonymization. - Hiroaki Kikuchi; Takayasu Yamaguchi; Koki Hamada; Yuji Yamaoka; Hidenobu Oguri; Jun Sakuma (AINA, 2016)

A Study from the Data Anonymization Competition Pwscup 2015. - Hiroaki Kikuchi; Takayasu Yamaguchi; Koki Hamada; Yuji Yamaoka; Hidenobu Oguri; Jun Sakuma (DPM/QASA@ESORICS, 2016)

A study on anonymizing method to balance the protection and utilization for the personal data distribution. - Hidenobu Oguri (2016)

Study on Record Linkage of Anonymizied Data. - Hiroaki Kikuchi; Takayasu Yamaguchi; Koki Hamada; Yuji Yamaoka; Hidenobu Oguri; Jun Sakuma (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

How to Handle Excessively Anonymized Datasets. - Ryo Nojima; Hidenobu Oguri; Hiroaki Kikuchi; Hiroshi Nakagawa; Koki Hamada; Takao Murakami; Yuji Yamaoka; Chiemi Watanabe (J. Inf. Process., 2018)

A method of decreasing connectability of derived data, using local differential privacy. - Hidenobu Oguri (ECAI, 2019)

Evaluation of Secure Remote Offering Service for Information Bank. - Keita Kayaba; Hidenobu Oguri; Yuji Yamaoka (CODASPY, 2020)

Designing a Location Trace Anonymization Contest. - Takao Murakami; Hiromi Arai; Koki Hamada; Takuma Hatano; Makoto Iguchi; Hiroaki Kikuchi; Atsushi Kuromasa; Hiroshi Nakagawa; Yuichi Nakamura 004; Kenshiro Nishiyama; Ryo Nojima; Hidenobu Oguri; et al. (Proc. Priv. Enhancing Technol., 2023)