AINeutralarXiv – CS AI · Mar 34/104
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Differential privacy representation geometry for medical image analysis
Researchers introduce DP-RGMI, a framework that analyzes how differential privacy affects medical image analysis by decomposing performance degradation into encoder geometry and task-head utilization components. The study across 594,000 chest X-ray images reveals that differential privacy alters representation structure rather than uniformly collapsing features, providing insights for privacy model selection.