Statistical Disclosure Control

τ-ARGUS home page


τ-ARGUS is a software program designed to protect statistical tables. It is one of the main results of the CASC-project.
A previous version of τ-ARGUS, as developed during the SDC-project, served as a starting point.

After a test-phase (coordinated by IStat) version 3 was the final release of the CASC-project. However we have continued our efforts, also thanks to the ESSNet-project and at the end of the ESSNet project version 3.4.1 is available.

Major new extensions are the reading of SPSS-system files, inclusion of the audit-routine, negative values in Modular and the generation of a-priory files.

In version 3.5 linked tables can be protected simultaneously, both with the modular approach as well as the hypercube

You can get version 3.5.0 (Build 27) here. UnZip the file in a temp-directory and run the install.bat procedure). (16 September 2013).

Please note that this version includes the 2012 release of XPress.

See the Manual 3.5 for more information.

For users of the SBS-format a conversion program to convert SBS-files to τ-ARGUS files can be downloaded here
This version includes a routine to import the ARGUS output in the original SBS file.

For users of SAS an interface has been written by the Swedisch colleagues as a deliverable of the ESSNet on SDC harmonisation.
It can be downloaded here.

Open Source version of τ-ARGUS

Partly funded by Eurostat, a project was started on 20 December 2012 to port the at that time most recent version of τ-ARGUS to an Open Source version. The resulting version should contain the possibility to be run on a Windows platform as well as on a Linux/Unix platform. Moreover, the cell suppression, CTA and rounding methods should be able to make use of Open Solvers.

4.1.2 4.1.2

An updated official release is now available: version 4.1.2
See the Release notes for more information on changes with respect to previous versions.
See the User Manual for more information on the use of τ-ARGUS.

You can download the latest Windows binaries, build on 32 bit Windows 7:
Version 4.1.2 Release notes

Older versions, build on 32 bit Windows 7:
Version 4.1.1 build 1 Release notes
Version 4.1.0 build 2 Release notes
Version 4.1.0 build 1 Release notes

You can download Linux binaries, Build on 32 bit Ubuntu 14.4.0:
Version 4.1.0 build 1 Release notes

You can download the sources (4.1.0) here.

For an overview of known issues, click here.

Optimisation solvers

For the calculation of an optimal pattern of secondary suppressions τ-ARGUS uses a LP-solver. Due to the complexity of the mathematical problems involved we use high quality commercial LP-solvers. Traditionally we use the Xpress-MP solver made by FICO.
We are very grateful for the friendly cooperation and support by FICO. FICO has taken over the responsability for XPress from Dash Optimisation. The 3.4 version of τ-ARGUS requires a licence for XPress2009.

Alternatively CPlex can be used, e.g. for those users who already have a licence for CPlex and who want to use that solver.

Although τ-ARGUS is free software (a result of a European 5th Framework project), these solvers are commercial products. You can download the τ-ARGUS software from this page, but you have to obtain a licence for one of these solvers yourself, directly from the suppliers.

All questions related to τ-ARGUS (including questions on the installation and use of these solvers) should be directed to Peter-Paul de Wolf.

For the conditions to obtain Xpress-MP (including updates) see the 2010 pricelist here

A summary of the installation procedure for τ-ARGUS can be found here

For floating XPress licences a new licene manager has been develloped by FICO
The software can be downloaded here and a description can be found here

An upgrade for the XPress drivers for Windows XP can be found here

For the conditions to obtain CPlex see here

τ-Project team





Anco Hundepool

Overall coordination
Software development (User interface)

Ramya Ramaswamy Software development (Kernel)
Peter-Paul de Wolf Modular/HITAS


Luisa Franconi


DeStatis  Sarah Giessing Coordinator tabular data research
GHMITER implementation
Dietz Repsilber GHMITER


JJ Salazar

Optimisation models

UPC Jordi Castro Network flow models
ONS Giovanni Merola
Philip Lowthian

VS2010 redist