131 citations · 227 across the 26 of their papers we have counts for
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cs.DB2023★ 3 cited
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…
cs.DB2023★ 2 cited
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance
Shufan Zhang, Xi He
Recent years have witnessed the adoption of differential privacy (DP) in practical database systems like PINQ, FLEX, and PrivateSQL. Such systems allow data analysts to query sensi…