Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Suppression to Reduce Disclosure Risk and Enhance Data Utility   In Privacy Preserving Data Publishing, various privacy models have been
developed for employing anonymization operations on sensitive individual level
datasets, in order to publish the data for public access while preserving the
privacy of individuals in the dataset. However, there is always a trade-off
between preserving privacy and data utility; the more changes we make on the
confidential dataset to reduce disclosure risk, the more information the data
loses and the less data utility it preserves. The optimum privacy technique is
the one that results in a dataset with minimum disclosure risk and maximum data
utility. In this paper, we propose an improved suppression method, which
reduces the disclosure risk and enhances the data utility by targeting the
highest risk records and keeping other records intact. We have shown the
effectiveness of our approach through an experiment on a real-world
confidential dataset.

4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph