Hiromi ARAI
Scholar

Hiromi ARAI

Google Scholar ID: hllqYyQAAAAJ
RIKEN AIP
PrivacyData MiningMachine LearningEthics of AI
Citations & Impact
All-time
Citations
990
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
10
list available
Resume
Academic Achievements
  • - Published a paper on privacy-preserving data analysis in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • - Contributed to a study on the impact of AI for social good in Nature Communications
  • - Published a paper on personalized anonymization for set-valued data in Transactions on Data Privacy
  • - Published a paper on privacy-preserving search for chemical compound databases in BMC Bioinformatics
  • - Published a paper on preserving worker privacy in crowdsourcing in Data Mining and Knowledge Discovery
  • - Published a new modeling method for HSQC spectra screening problem in Bioinformatics
  • - Published a paper on fair machine guidance at CHI Conference on Human Factors in Computing Systems (CHI2024)
  • - Published a paper on selective avoidance of clicking uncongenial facts at CHI Conference on Human Factors in Computing Systems (CHI2023)
  • - Published a paper on the impact of large-scale generative models on future datasets at IEEE/CVF International Conference on Computer Vision (ICCV)
  • - Published a paper on interventions for mitigating the selective avoidance of clicking uncongenial facts at Annual Meeting of the Cognitive Science Society (CogSci)
  • - Published a paper on characterizing the risk of fairwashing at Advances in Neural Information Processing Systems (NeurIPS2021)
  • - Published a paper on the risk of rationalization in fairwashing at International Conference on Machine Learning (ICML 2019)
  • - Published a framework for privacy-preserving anomaly detection at Workshop on Privacy in the Electronic Society (WPES2017)
  • - Published a paper on quantifying genomic privacy in genetic test results at GenoPri’16
Research Experience
  • Unit Leader, AI Safety and Reliability Unit, RIKEN AIP
Background
  • Research interests: trustworthy AI, AI security and privacy, fairness in machine learning, explainable AI.