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Differentially Private Semantic Plans for Aggregate Insight Generation

Razeghi, Behrooz
arXiv (OAI Expanded) · Papers
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machine-learning
\texttt{URANIA} provides end-to-end differential privacy (DP) for summaries of data-dependent clusters. However, its cluster--keyword release does not directly provide collection-wide aggregates for semantic concepts defined independently of the protected corpus. Records may express several concepts
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