31 citations · 91 across the 18 of their papers we have counts for
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cs.DB2024
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms
Shang Liu, Hao Du, Yang Cao +3
Differentially private graph analysis is a powerful tool for deriving insights from diverse graph data while protecting individual information. Designing private analytic algorithm…
cs.DB2023
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing
Xuyang Cao, Yang Cao, Primal Pappachan +2
The release of differentially private streaming data has been extensively studied, yet striking a good balance between privacy and utility on temporally correlated data in the stre…
cs.DB2022★ 7 cited
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi +3
How can we explore the unknown properties of high-dimensional sensitive relational data while preserving privacy? We study how to construct an explorable privacy-preserving materia…