- 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.