A Reasoning Approach to Financial Data Exchange with Statistical Confidentiality

Luigi Bellomarini,Livia Blasi,Rosario Laurendi,Emanuel Sallinger

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, PT II（2021）

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摘要

Motivated by our experience with the Bank of Italy, in this work we present Vada-SA, a reasoning framework for financial data exchange with statistical confidentiality. By reasoning on the interplay of the features that may lead to identity disclosure, the framework is able to guarantee explainable, declarative, and context-aware confidentiality.

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关键词

financial data exchange,reasoning approach

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