AI RESEARCH
Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems
arXiv CS.AI
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ArXi:2604.14495v1 Announce Type: cross Financial institutions face tension between maximizing data utility and mitigating the re-identification risks inherent in traditional anonymization methods. This paper explores Differentially Private (DP) synthetic data as a robust "Privacy by Design" framework to resolve this conflict, ensuring output privacy while satisfying stringent regulatory obligations.