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Private Evaluation of High-Dimensional Functions

arXiv:2610.24477v1 Announce Type: new Abstract: We study differentially private black-box evaluation of arbitrary high-dimensional functions. Given a dataset $S$ and query access to a function $f$---whose sensitivity may be unknown or unbounded---the goal is to privately output an approximation to…

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  1. 2026-10-20 04:00 · arXiv stat.ML
    Private Evaluation of High-Dimensional Functions

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