PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces

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Authors: Wan Ki Wong, Sahel Torkamani, Michele Ciampi, Rik Sarkar
Cited by: 0

Abstract

Evaluating the usefulness of data before purchase is essential when obtaining data for high-quality machine learning models, yet both model builders and data providers are often unwilling to reveal their proprietary assets.

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Blockchain Technology Applications and Security Cryptography and Data Security

Publication details

Pages
1615–1631
Publication date
1 June 2026