2 papers
cs.CE2026
Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems
Ifayoyinsola Ibikunle, Tyler Farnan, Senthil Kumar +1
Financial institutions face tension between maximizing data utility and mitigating the re-identification risks inherent in traditional anonymization methods. This paper explores Di…
cs.LG2026
PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback
Dehao Yuan, Tyler Farnan, Stefan Tesliuc +8
Strict privacy regulations limit access to real transaction data, slowing open research in financial AI. Synthetic data can bridge this gap, but existing generators do not jointly…