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Privacy-Preserving Profiling

Privacy-Preserving Profiling
Privacy-Preserving Profiling
With the rise of social networking, and other sites which collect vast amounts of user data, the issue of user privacy has never been more important. When creating user profiles care must be taken to avoid collecting sensitive information, while ensuring that these profiles are fit for purpose. In this paper we present a specific instance of the privacy-preserving profiling problem in an expert-finding application. We present a dataset of profiles, as well as several datasets for contaminating these profiles, and provide experiments to test data quality and privacy-preserving performance. We present a simple solution based on training an LSA model on a clean profile corpus, which maintains performance and provides a moderate level of privacy.
Barnard, Thomas
6e434c6b-7df9-4c2d-a9c3-3a95a8df9044
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Barnard, Thomas
6e434c6b-7df9-4c2d-a9c3-3a95a8df9044
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e

Barnard, Thomas and Prugel-Bennett, Adam (2011) Privacy-Preserving Profiling. DMIN2011, United States. 18 - 21 Jul 2011.

Record type: Conference or Workshop Item (Paper)

Abstract

With the rise of social networking, and other sites which collect vast amounts of user data, the issue of user privacy has never been more important. When creating user profiles care must be taken to avoid collecting sensitive information, while ensuring that these profiles are fit for purpose. In this paper we present a specific instance of the privacy-preserving profiling problem in an expert-finding application. We present a dataset of profiles, as well as several datasets for contaminating these profiles, and provide experiments to test data quality and privacy-preserving performance. We present a simple solution based on training an LSA model on a clean profile corpus, which maintains performance and provides a moderate level of privacy.

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More information

Published date: 18 July 2011
Additional Information: Event Dates: July 18-21 2011
Venue - Dates: DMIN2011, United States, 2011-07-18 - 2011-07-21
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272615
URI: https://eprints.soton.ac.uk/id/eprint/272615
PURE UUID: 9be2bf23-0740-4a85-a3f5-c6fd5257d957

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Date deposited: 03 Aug 2011 15:28
Last modified: 18 Jul 2017 06:22

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