DProvDB: Differentially private query processing with multi-analyst provenance

S Zhang, X He - Proceedings of the ACM on Management of Data, 2023‏ - dl.acm.org
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 …

Multi-analyst differential privacy for online query answering

D Pujol, A Sun, B Fain, A Machanavajjhala - arxiv preprint arxiv …, 2022‏ - arxiv.org
Most differentially private mechanisms are designed for the use of a single analyst. In reality,
however, there are often multiple stakeholders with different and possibly conflicting …

Framework for differentially private data analysis with multiple accuracy requirements

K Knopf - Proceedings of the 2021 International Conference on …, 2021‏ - dl.acm.org
Organizations who collect sensitive data, such as hospitals or governments, may want to
share the data with others. There could be multiple applications or analysts that want to use …

Differential privacy with fine-grained provenance: Opportunities and challenges

X He, S Zhang - Data Engineering, 2023‏ - sites.computer.org
Differential privacy (DP) offers a robust framework for protecting individual privacy when
analyzing data. However, the elegant abstractions used in DP theory do not always translate …

DProvSQL: Accuracy-aware privacy provenance framework for differentially private sql engine

S Zhang - 2022‏ - uwspace.uwaterloo.ca
Recent years have witnessed the adoption of differential privacy (DP) in practical database
query systems. Such systems, like PrivateSQL and FLEX, allow data analysts to query …

Fairness in Differentially Private Data Release

DA Pujol - 2022‏ - search.proquest.com
Data privacy has received an increased amount of attention in the recent decade. Large
scale data collection has been the norm for both scientific and commercial uses. This private …