Hiromi Arai

Orcid: 0000-0001-5162-3812

Affiliations:
  • The University of Tokyo, Japan


According to our database1, Hiromi Arai authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Trustworthy human computation: a survey.
Artif. Intell. Rev., December, 2024

Analyzing Social Biases in Japanese Large Language Models.
CoRR, 2024

Are Dark Patterns Self-destructive for Service Providers?: Revealing Their Impacts on Usability and User Satisfaction.
Proceedings of the HCI in Business, Government and Organizations, 2024

Fair Machine Guidance to Enhance Fair Decision Making in Biased People.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Designing a Location Trace Anonymization Contest.
Proc. Priv. Enhancing Technol., January, 2023

Will Large-scale Generative Models Corrupt Future Datasets?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021
Privacy-Preserving Data Analysis: Providing Traceability without Big Brother.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Characterizing the risk of fairwashing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal.
CoRR, 2020

2019
Fairwashing: the risk of rationalization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Personalized Anonymization for Set-Valued Data by Partial Suppression.
Trans. Data Priv., 2018

2017
A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother.
Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, TX, USA, October 30, 2017

2016
Differential Privacy without Sensitivity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Privacy-preserving search for chemical compound databases.
BMC Bioinform., December, 2015

Privacy Preservation in Crowdsourced Health Research.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
Preserving worker privacy in crowdsourcing.
Data Min. Knowl. Discov., 2014

Anonymous Data Collection System with Mediators.
Proceedings of the Cryptography and Information Security in the Balkans, 2014

2011
Privacy Preserving Semi-supervised Learning for Labeled Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Online Prediction with Privacy.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

An Accurate Prediction Method for Protein Structural Class from Signal Patterns of NMR Spectra in the Absence of Chemical Shift Assignments.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
A new modeling method in feature construction for the HSQC spectra screening problem.
Bioinform., 2009


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