2 papers
cs.LG2026
Evaluating LLM Simulators as Differentially Private Data Generators
Nassima M. Bouzid, Dehao Yuan, Nam H. Nguyen +1
LLM-based simulators offer a promising path for generating complex synthetic data where traditional differentially private (DP) methods struggle with high-dimensional user profiles…
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…