Add to ORKGCurrently, complementary cell suppression software tools are mostly used by statistical agencies to protect sensitive tabular data from disclosure. It is generally believed that the linear programming (LP) based complementary cell suppression procedures offer the best protection from wrongful dis-closure of statistical information. In recent years LP-based cell suppression auditing software tool
To perform statistical disclosure control (SDC) on tabular data is a challenging task because we nee...
Although the Internet is a vast source of information for individuals, it is also a major source of ...
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the n...
Currently, complementary cell suppression procedures are mostly used by statistical agencies to prot...
In this contribution we will present our work on the implementation of two important algorithms for ...
This paper combines the well-known Cell Suppression Methodology (herein called complete cell suppres...
linear programming, integer programming, confidentiality, statistical disclosure control Abstract1. ...
In this paper we address the problem of protecting con dentiality in statistical tables containing...
The increasing demand for information, coupled with the increasing capability of computer systems, h...
Abstract. Complementary cell suppression was the first and remains a popular method for disclosure l...
The most common data products released by the Economic Directorate of the Census Bureau are magnitud...
As organizations start to publish the data that they collect, either internally or externally, in th...
Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or t...
confidentiality, cell suppression, cell perturbation In recent years there has been much research on...
Statistical offices are concerned with problems of protecting confidential information when publishi...
To perform statistical disclosure control (SDC) on tabular data is a challenging task because we nee...
Although the Internet is a vast source of information for individuals, it is also a major source of ...
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the n...
Currently, complementary cell suppression procedures are mostly used by statistical agencies to prot...
In this contribution we will present our work on the implementation of two important algorithms for ...
This paper combines the well-known Cell Suppression Methodology (herein called complete cell suppres...
linear programming, integer programming, confidentiality, statistical disclosure control Abstract1. ...
In this paper we address the problem of protecting con dentiality in statistical tables containing...
The increasing demand for information, coupled with the increasing capability of computer systems, h...
Abstract. Complementary cell suppression was the first and remains a popular method for disclosure l...
The most common data products released by the Economic Directorate of the Census Bureau are magnitud...
As organizations start to publish the data that they collect, either internally or externally, in th...
Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or t...
confidentiality, cell suppression, cell perturbation In recent years there has been much research on...
Statistical offices are concerned with problems of protecting confidential information when publishi...
To perform statistical disclosure control (SDC) on tabular data is a challenging task because we nee...
Although the Internet is a vast source of information for individuals, it is also a major source of ...
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the n...