9 citations · 13 across the 10 of their papers we have counts for
3 papers · 1 filter
Computing Inconsistency Measures Under Differential Privacy
Shubhankar Mohapatra, Amir Gilad, Xi He +1
Assessing data quality is crucial to knowing whether and how to use the data for different purposes. Specifically, given a collection of integrity constraints, various ways have be…
Differentially Private Data Generation with Missing Data
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum +1
Despite several works that succeed in generating synthetic data with differential privacy (DP) guarantees, they are inadequate for generating high-quality synthetic data when the i…
Kamino: Constraint-Aware Differentially Private Data Synthesis
Chang Ge, Shubhankar Mohapatra, Xi He +1
Organizations are increasingly relying on data to support decisions. When data contains private and sensitive information, the data owner often desires to publish a synthetic datab…