Synthetic Data Generation Framework (SGF)

Type
Software — C++

Files: sgf-0.10a.tgz2.31 MB
Description:

The Synthetic Data Generation Framework (SGF) is a software tool that can quickly produce synthetic datasets in a privacy-preserving way. It is written in C++ and is easy to extend. Given a sensitive dataset as input, the tool is able to produce a collection synthetic data records in a way that provably guarantees differential privacy.

Limitations:

  • Currently only input datasets with categorical and discrete attributes are supported.

The archive file (tar.gz) contains the (C++) source code alongside with a README file and example data.


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