Talks and Poster Presentations (with Proceedings-Entry):

L. Bellomarini, L. Blasi, R. Laurendi, E. Sallinger:
"Financial Data Exchange with Statistical Confidentiality: {A} Reasoning-based Approach";
Talk: EDBT 2021 - 24th International Conference on Extending Database Technology, Nicosia, Zypern; 2021-03-23 - 2021-03-26; in: "Proceedings of the 24th International Conference on Extending Database Technology, {EDBT} 2021, Nicosia, Cyprus, March 23 - 26, 2021", (2021), 558 - 569.

English abstract:
Confidentiality is a crucial requirement in financial data exchange processes. On the one hand, rich microdata is needed for most AI applications, including banking supervision, anti-money laundering, etc. On the other hand, organizations may not be legally authorized to see particular data, e.g., personal data. Striking the right balance provides a number of challenges. Motivated by our experience with the Central Bank of Italy, in this work we present Vada-SA, a reasoning-based framework for financial data exchange with statistical confidentiality. We present a production-ready and fully engineered framework, adopting a reasoning approach. The framework includes explicit consideration of the reasoning process, the business context and declarative transparency that puts the user in control. We show and discuss a number of risk measures and anonymization criteria, implemented and operated in practice

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Reinhard Pichler:

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