Exposing and mitigating privacy loss in crowdsourced survey platforms

Authors:
Thivya Kandappu;Vijay Sivaraman;Arik Friedman;Roksana Boreli
Affiliations:
University of New South Wales, Sydney, Australia;University of New South Wales, Sydney, Australia;NICTA, Sydney, Australia;NICTA, Sydney, Australia
Venue:
Proceedings of the 2013 workshop on Student workhop
Year:
2013

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Abstract

Crowdsourcing platforms such as Amazon Mechanical Turk and Google Consumer Surveys can profile users based on their inputs to online surveys. In this work we first demonstrate how easily user privacy can be compromised by collating information from multiple surveys. We then propose, develop, and evaluate a crowdsourcing survey platform called Loki that allows users to control their privacy loss via at-source obfuscation.