Hiromi Arai

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Differential Privacy

Kolmogorov Smirnov

Privacy Preserving

Human Computation

Top Venues

Publications

Mingzhe Yang, Hiromi Arai, Naomi Yamashita, Yukino Baba
Fair Machine Guidance to Enhance Fair Decision Making in Biased People. CHI (2024)
Toi Kojima, Tomoya Aiba, Soshi Maeda, Hiromi Arai, Masakatsu Nishigaki, Tetsushi Ohki
Are Dark Patterns Self-destructive for Service Providers?: Revealing Their Impacts on Usability and User Satisfaction. HCI (37) (2024)
Mingzhe Yang, Hiromi Arai, Naomi Yamashita, Yukino Baba
Fair Machine Guidance to Enhance Fair Decision Making in Biased People. CoRR (2024)
Hitomi Yanaka, Namgi Han, Ryoma Kumon, Jie Lu, Masashi Takeshita, Ryo Sekizawa, Taisei Kato, Hiromi Arai
Analyzing Social Biases in Japanese Large Language Models. CoRR (2024)
Takao Murakami, Hiromi Arai, Koki Hamada, Takuma Hatano, Makoto Iguchi, Hiroaki Kikuchi, Atsushi Kuromasa, Hiroshi Nakagawa, Yuichi Nakamura, Kenshiro Nishiyama, Ryo Nojima, Hidenobu Oguri, Chiemi Watanabe, Akira Yamada, Takayasu Yamaguchi, Yuji Yamaoka
Designing a Location Trace Anonymization Contest. Proc. Priv. Enhancing Technol. 2023 (1) (2023)
Ryuichiro Hataya, Han Bao, Hiromi Arai
Will Large-scale Generative Models Corrupt Future Datasets? ICCV (2023)
Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Kentaro Inui
Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts. CogSci (2023)
Hisashi Kashima, Satoshi Oyama, Hiromi Arai, Junichiro Mori
Trustworthy Human Computation: A Survey. CoRR (2022)
Ryuichiro Hataya, Han Bao, Hiromi Arai
Will Large-scale Generative Models Corrupt Future Datasets? CoRR (2022)
Hiromi Arai, Keita Emura, Takuya Hayashi
Privacy-Preserving Data Analysis: Providing Traceability without Big Brother. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2021)
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
Characterizing the risk of fairwashing. CoRR (2021)
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
Characterizing the risk of fairwashing. NeurIPS (2021)
Takao Murakami, Hiromi Arai, Koki Hamada, Takuma Hatano, Makoto Iguchi, Hiroaki Kikuchi, Atsushi Kuromasa, Hiroshi Nakagawa, Yuichi Nakamura, Kenshiro Nishiyama, Ryo Nojima, Hidenobu Oguri, Chiemi Watanabe, Akira Yamada, Takayasu Yamaguchi, Yuji Yamaoka
Designing a Location Trace Anonymization Contest. CoRR (2021)
Kudo Fumiko, Hiromi Arai, Arisa Ema
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal. CoRR (2020)
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
Fairwashing: the risk of rationalization. ICML (2019)
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
Fairwashing: the risk of rationalization. CoRR (2019)
Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa
Personalized Anonymization for Set-Valued Data by Partial Suppression. Trans. Data Priv. 11 (3) (2018)
Hiromi Arai, Keita Emura, Takuya Hayashi
A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother. WPES@CCS (2017)
Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa
Personalized Anonymization for Set-Valued Data by Partial Suppression. ICDM Workshops (2017)
Kentaro Minami, Hiromi Arai, Issei Sato, Hiroshi Nakagawa
Differential Privacy without Sensitivity. NIPS (2016)
Hiromi Arai
Privacy Preservation in Crowdsourced Health Research. AAAI Spring Symposia (2015)
Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai
Privacy-preserving search for chemical compound databases. BMC Bioinform. 16 (S18) (2015)
Hiromi Arai, Keita Emura, Takahiro Matsuda
Anonymous Data Collection System with Mediators. BalkanCryptSec (2014)
Hiroshi Kajino, Hiromi Arai, Hisashi Kashima
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28 (5-6) (2014)
Hiromi Arai, Jun Sakuma
Privacy Preserving Semi-supervised Learning for Labeled Graphs. ECML/PKDD (1) (2011)
Hiromi Arai, Naoya Tochio, Tsuyoshi Kato, Takanori Kigawa, Masayuki Yamamura
An Accurate Prediction Method for Protein Structural Class from Signal Patterns of NMR Spectra in the Absence of Chemical Shift Assignments. BIBE (2010)
Jun Sakuma, Hiromi Arai
Online Prediction with Privacy. ICML (2010)
Hiromi Arai, Satoru Watanabe, Takanori Kigawa, Masayuki Yamamura
A new modeling method in feature construction for the HSQC spectra screening problem. Bioinform. 25 (7) (2009)