AI RESEARCH
Technical Case Study of Privacy-Enhancing Technologies (PETs) for Public Health
arXiv CS.AI
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ArXi:2603.13444v1 Announce Type: cross We present a technical on the Privacy-Enhancing Technologies (PETs) for Public Health Challenge, a collaborative effort to safely leverage sensitive private sector data for social impact, specifically pandemic management. The project utilized Differential Privacy (DP) to create realistic, privacy-preserved synthetic financial transaction data, which was then combined with public health and mobility datasets. This approach successfully addressed the critical hurdle of sharing sensitive financial information for research and policy.