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PPSF – Privacy-Preserving Data Mining Library

This repository contains an archived version of the source code for PPSF, a research-oriented library for privacy-preserving data mining.

PPSF was developed to support experimentation and research on techniques for protecting sensitive information during the data mining process while maintaining data utility for analysis and pattern discovery.

License

This project is distributed under the GNU General Public License v3.0 (GPLv3).

Reference Publication

If you use PPSF in your research, please cite the following publication:

Lin, J.-C.W., Fournier-Viger, P., Wu, L., Gan, W., Djenouri, Y., Zhang, J. (2018).
PPSF: A Privacy-Preserving Data Mining Library.
Proceedings of the IEEE International Conference on Data Mining Workshops (ICDMW 2018), Demo Track.
DOI: 10.1109/ICDMW.2018.00208

About This Repository

This repository is provided for archival and research purposes. It preserves the original implementation associated with the PPSF project and accompanying publication. The code may be useful for:

  • Reproducibility of published research
  • Benchmarking and experimental comparison
  • Educational purposes
  • Further research on privacy-preserving data mining techniques

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PPSF Privacy-Preserving and Security Framework An Open-Source of Privacy-Preserving and Security Library (archival)

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