By Topic

A Study on the Impact of Data Anonymization on Anti-discrimination

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Hajian, S. ; Dept. of Comput. Eng. & Math., Univ. Rovira i Virgili, Tarragona, Spain ; Domingo-Ferrer, J.

In last years, data mining has raised some concerns related to privacy invasion of the individuals and potential discrimination based on the extracted patterns and profiles. Efforts at fighting against these risks have led to developing privacy preserving data mining (PPDM) techniques and anti-discrimination techniques in data mining. However, there is an evident gap between the large body of research in data privacy technologies and the recent early results on anti-discrimination technologies. This context presents a study on the relation between data anonymization from privacy technologies literature and anti-discrimination. We discuss how different data anonymization techniques have impact on discriminatory biased datasets.

Published in:

Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on

Date of Conference:

10-10 Dec. 2012