Perspectives for Tabular Data Protection – How About Synthetic Data?

Author:

Geyer Felix,Tent Reinhard,Reiffert Michel,Giessing Sarah

Publisher

Springer International Publishing

Reference21 articles.

1. Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and Regression Trees. Wadsworth International Group (1984)

2. Burnett-Isaacs, K., et al.: Synthetic data for national statistical organization: a starter guide, version 2 (2021). https://statswiki.unece.org/download/attachments/282330193/HLG-MOS%20Synthetic%20Data%20Guide.docx?version=2&modificationDate=1642449524045&api=v2. Accessed 20 May 2022

3. Drechsler, J., Reiter, J.P.: Disclosure risk and data utility for partially synthetic data: an empirical study using the German IAB establishment survey. J. Official Statist. 25(4), 589–603 (2009)

4. Enderle, T., Giessing, S.: Implementation of a ‘p-table generator’ as separate R-package. Deliverable D3.2 of Work Package 3 “Prototypical implementation of the cell key/seed method” within the Specific Grant Agreement “Open Source tools for perturbative confidentiality methods” (2018b)

5. Lecture Notes in Computer Science;T Enderle,2020

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