Fundamental Technologies for Enhancing Trust in Machine Learning-Centric Data Trading

• Project/Area Number: 25K21207
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 60080:Database-related
• Research Institution: The University of Osaka
• Principal Investigator: 鄭 舒元 大阪大学, 大学院情報科学研究科, 特任助教(常勤) (30994694)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2027: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000); Fiscal Year 2026: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
• Keywords: data market / data valuation / data pricing / trust

Outline of Research at the Start

This research aims to develop a trustworthy system for machine learning-centric data trading. Specifically, it investigates technologies to prevent collusion and the unauthorized reselling of AI models, while also enhancing the interpretability of the trading system for both sellers and buyers.