A two-phase, depth-free differential privacy decomposition method that separates empty from non-empty regions first and then refines by aggregation error, yielding lower range-query error than prior methods.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DB 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
RIPOST: Two-Phase Private Decomposition for Multidimensional Data
A two-phase, depth-free differential privacy decomposition method that separates empty from non-empty regions first and then refines by aggregation error, yielding lower range-query error than prior methods.