AI RESEARCH
Differentially Private Conformal Prediction
arXiv CS.LG
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ArXi:2604.14621v1 Announce Type: cross Conformal prediction (CP) has attracted broad attention as a simple and flexible framework for uncertainty quantification through prediction sets. In this work, we study how to deploy CP under differential privacy (DP) in a statistically efficient manner. We first