Exposing and mitigating privacy loss in crowdsourced survey platforms

• Main Authors: KANDAPPU, Thivya, SIVARAMAN, Vijay, FRIEDMAN, Arik, BORELL, Roksana
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Obfuscation; Privacy; Surveys; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5390; https://ink.library.smu.edu.sg/context/sis_research/article/6394/viewcontent/Exposing_and_mitigating_privacy_loss_in_crowdsourced_survey_platforms.pdf
• Institution: Singapore Management University

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 evalu...