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ORCIDHiromi Arai
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- affiliation: The University of Tokyo, Japan
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2020 – today
- 2024
[j7]Hisashi Kashima, Satoshi Oyama, Hiromi Arai, Junichiro Mori:
Trustworthy human computation: a survey. Artif. Intell. Rev. 57(12): 322 (2024)- [c15]Mingzhe Yang
, Hiromi Arai, Naomi Yamashita, Yukino Baba:
Fair Machine Guidance to Enhance Fair Decision Making in Biased People. CHI 2024: 285:1-285:18 - [c14]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: 66-78 - [i8]Mingzhe Yang, Hiromi Arai, Naomi Yamashita, Yukino Baba:
Fair Machine Guidance to Enhance Fair Decision Making in Biased People. CoRR abs/2404.05228 (2024) - [i7]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 abs/2406.02050 (2024) - 2023
- [j6]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): 225-243 (2023) - [c13]Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita, Kentaro Inui:
Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts. CHI 2023: 664:1-664:17 - [c12]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 - [c11]Ryuichiro Hataya, Han Bao, Hiromi Arai:
Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023: 20498-20508 - 2022
- [i6]Hisashi Kashima, Satoshi Oyama, Hiromi Arai, Junichiro Mori:
Trustworthy Human Computation: A Survey. CoRR abs/2210.12324 (2022) - [i5]Ryuichiro Hataya, Han Bao, Hiromi Arai:
Will Large-scale Generative Models Corrupt Future Datasets? CoRR abs/2211.08095 (2022) - 2021
- [j5]Hiromi Arai, Keita Emura, Takuya Hayashi:
Privacy-Preserving Data Analysis: Providing Traceability without Big Brother. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(1): 2-19 (2021) - [c10]Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara:
Characterizing the risk of fairwashing. NeurIPS 2021: 14822-14834 - [i4]Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara:
Characterizing the risk of fairwashing. CoRR abs/2106.07504 (2021) - [i3]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 abs/2107.10407 (2021) - 2020
- [i2]Kudo Fumiko, Hiromi Arai, Arisa Ema:
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal. CoRR abs/2005.08663 (2020)
2010 – 2019
- 2019
- [c9]Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp:
Fairwashing: the risk of rationalization. ICML 2019: 161-170 - [i1]Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp:
Fairwashing: the risk of rationalization. CoRR abs/1901.09749 (2019) - 2018
- [j4]Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa:
Personalized Anonymization for Set-Valued Data by Partial Suppression. Trans. Data Priv. 11(3): 219-237 (2018) - 2017
- [c8]Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa:
Personalized Anonymization for Set-Valued Data by Partial Suppression. ICDM Workshops 2017: 1003-1010 - [c7]Hiromi Arai, Keita Emura, Takuya Hayashi:
A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother. WPES@CCS 2017: 111-122 - 2016
- [c6]Kentaro Minami, Hiromi Arai, Issei Sato, Hiroshi Nakagawa:
Differential Privacy without Sensitivity. NIPS 2016: 956-964 - 2015
- [j3]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): S6 (2015) - [c5]Hiromi Arai:
Privacy Preservation in Crowdsourced Health Research. AAAI Spring Symposia 2015 - 2014
- [j2]Hiroshi Kajino, Hiromi Arai, Hisashi Kashima:
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28(5-6): 1314-1335 (2014) - [c4]Hiromi Arai, Keita Emura, Takahiro Matsuda:
Anonymous Data Collection System with Mediators. BalkanCryptSec 2014: 141-160 - 2011
- [c3]Hiromi Arai, Jun Sakuma:
Privacy Preserving Semi-supervised Learning for Labeled Graphs. ECML/PKDD (1) 2011: 124-139 - 2010
- [c2]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: 32-37 - [c1]Jun Sakuma, Hiromi Arai:
Online Prediction with Privacy. ICML 2010: 935-942
2000 – 2009
- 2009
- [j1]Hiromi Arai, Satoru Watanabe, Takanori Kigawa, Masayuki Yamamura:
A new modeling method in feature construction for the HSQC spectra screening problem. Bioinform. 25(7): 948-953 (2009)
Coauthor Index
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