A new modeling method in feature construction for the HSQC spectra screening problem. - Hiromi Arai; Satoru Watanabe; Takanori Kigawa; Masayuki Yamamura (Bioinform., 2009)

An Accurate Prediction Method for Protein Structural Class from Signal Patterns of NMR Spectra in the Absence of Chemical Shift Assignments. - Hiromi Arai; Naoya Tochio; Tsuyoshi Kato; Takanori Kigawa; Masayuki Yamamura (BIBE, 2010)

Online Prediction with Privacy. - Jun Sakuma; Hiromi Arai (ICML, 2010)

Privacy Preserving Semi-supervised Learning for Labeled Graphs. - Hiromi Arai; Jun Sakuma (ECML/PKDD (1), 2011)

Anonymous Data Collection System with Mediators. - Hiromi Arai; Keita Emura; Takahiro Matsuda 002 (BalkanCryptSec, 2014)

Preserving worker privacy in crowdsourcing. - Hiroshi Kajino; Hiromi Arai; Hisashi Kashima (Data Min. Knowl. Discov., 2014)

Privacy Preservation in Crowdsourced Health Research. - Hiromi Arai (AAAI Spring Symposia, 2015)

Privacy-preserving search for chemical compound databases. - Kana Shimizu; Koji Nuida; Hiromi Arai; Shigeo Mitsunari; Nuttapong Attrapadung; Michiaki Hamada; Koji Tsuda; Takatsugu Hirokawa; Jun Sakuma; Goichiro Hanaoka; Kiyoshi Asai (BMC Bioinform., 2015)

Differential Privacy without Sensitivity. - Kentaro Minami; Hiromi Arai; Issei Sato; Hiroshi Nakagawa (NIPS, 2016)

A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother. - Hiromi Arai; Keita Emura; Takuya Hayashi 001 (WPES@CCS, 2017)

Personalized Anonymization for Set-Valued Data by Partial Suppression. - Takuma Nakagawa; Hiromi Arai; Hiroshi Nakagawa (Trans. Data Priv., 2018)

Fairwashing: the risk of rationalization. - Ulrich Aïvodji; Hiromi Arai; Olivier Fortineau; Sébastien Gambs; Satoshi Hara 001; Alain Tapp (ICML, 2019)

Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal. - Kudo Fumiko; Hiromi Arai; Arisa Ema (CoRR, 2020)

Characterizing the risk of fairwashing. - Ulrich Aïvodji; Hiromi Arai; Sébastien Gambs; Satoshi Hara 001 (NeurIPS, 2021)

Privacy-Preserving Data Analysis: Providing Traceability without Big Brother. - Hiromi Arai; Keita Emura; Takuya Hayashi 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts. - Yuko Tanaka; Miwa Inuzuka; Hiromi Arai; Yoichi Takahashi; Minao Kukita; Kentaro Inui (CHI, 2023)

Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts. - Yuko Tanaka; Hiromi Arai; Miwa Inuzuka; Yoichi Takahashi; Minao Kukita; Kentaro Inui (CogSci, 2023)

Will Large-scale Generative Models Corrupt Future Datasets? - Ryuichiro Hataya; Han Bao 002; Hiromi Arai (ICCV, 2023)

Overview of the NTCIR-17 FairWeb-1 Task. - Sijie Tao; Nuo Chen 004; Tetsuya Sakai; Zhumin Chu; Hiromi Arai; Ian Soboroff; Nicola Ferro 001; Maria Maistro (NTCIR, 2023)

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)

Fair Machine Guidance to Enhance Fair Decision Making in Biased People. - Mingzhe Yang; Hiromi Arai; Naomi Yamashita; Yukino Baba (CHI, 2024)

Are Dark Patterns Self-destructive for Service Providers?: Revealing Their Impacts on Usability and User Satisfaction. - Toi Kojima; Tomoya Aiba; Soshi Maeda; Hiromi Arai; Masakatsu Nishigaki; Tetsushi Ohki (HCI (37), 2024)

Analyzing Social Biases in Japanese Large Language Models. - Hitomi Yanaka; Namgi Han; Ryoma Kumon; Jie Lu; Masashi Takeshita; Ryo Sekizawa; Taisei Kato; Hiromi Arai (CoRR, 2024)

Trustworthy human computation: a survey. - Hisashi Kashima; Satoshi Oyama; Hiromi Arai; Junichiro Mori (Artif. Intell. Rev., 2024)

Beyond Click to Cognition: Effective Interventions for Promoting Examination of False Beliefs in Misinformation. - Yuko Tanaka; Hiromi Arai; Miwa Inuzuka; Yoichi Takahashi; Minao Kukita; Ryuta Iseki; Kentaro Inui (CHI, 2025)

Path-Specific Counterfactual Fairness via Dividend Correction. - Daisuke Hatano; Satoshi Hara 001; Hiromi Arai (Trans. Mach. Learn. Res., 2025)

Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration. - Kyohei Atarashi; Satoshi Oyama; Hiromi Arai; Hisashi Kashima (CoRR, 2025)