Kazuya Sakai

Graduate School of Systems Design, Tokyo Metropolitan UniversityAssociate Professor*Profile is at the time of the award.

2019Inamori Research GrantsScience & Engineering

Research topics
Secure Machine Learning Algorithms on Ciphertexts
The recent breakthrough in machine learning as well as the availability of cloud computing enable a various business and personal services. To fully utilize the state-of-art technologies, the quality and quantity of training data are critically important. These set of data, however, may contain privacy information of individuals and the data themselves are invaluable assets for organizations, which prevent the wide adoption of the public machine learning. In this research, I will design privacy-preserving machine learning algorithms that securely process encrypted training data in distributed databases over multiple clouds.

Message from recipient

It is my pleasure that my research has been supported by Inamori Foundation, one of the funding agencies that supports internationally recognized research projects. I hope my research for securing data privacy serves on the security foundation for various machine learning services.

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Science & Engineering