[Hiromi Arai] Privacy preserving data mining for secure and transparent personalization

PRESTO Researcher

Hiromi Arai's Photo

Hiromi Arai

RIKEN
Center for Advanced Intelligence Project
Researcher

Outline

This project aims to develop algorithms and protocols for privacy preserving, secure, and transparent personalized services. Based on machine learning and cryptographic techniques, we will develop methods to prevent adversarial data provision while preserving honest users’ privacy. We will also develop data privacy preserving data publish methods for transparent personalized services.

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Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
Finish programs
  • Pamphlet
  • ProjectDB
  • GlobalActivity
  • Diversity-EN
  • OS_Policy-EN
  • Question-E