9 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CR2023★ 4 cited
SoK: Privacy-Preserving Data Synthesis
Yuzheng Hu, Fan Wu, Qinbin Li +7
As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern. Consequently, there has been an upsurge in the development of mechanisms aimed a…
cs.DB2020★ 9 cited
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…
cs.DB2017★ 3 cited
APEx: Accuracy-Aware Differentially Private Data Exploration
Chang Ge, Xi He, Ihab F. Ilyas +1
Organizations are increasingly interested in allowing external data scientists to explore their sensitive datasets. Due to the popularity of differential privacy, data owners want…