Exposing and mitigating privacy loss in crowdsourced survey platforms

Exposing and mitigating privacy loss in crowdsourced survey platforms

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...

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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
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-63942020-12-02T04:27:06Z Exposing and mitigating privacy loss in crowdsourced survey platforms KANDAPPU, Thivya SIVARAMAN, Vijay FRIEDMAN, Arik BORELL, Roksana 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 atsource obfuscation. 2013-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5390 info:doi/10.1145/2537148.2537150 https://ink.library.smu.edu.sg/context/sis_research/article/6394/viewcontent/Exposing_and_mitigating_privacy_loss_in_crowdsourced_survey_platforms.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Obfuscation Privacy Surveys Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Obfuscation
Privacy
Surveys
Software Engineering
spellingShingle Obfuscation
Privacy
Surveys
Software Engineering
KANDAPPU, Thivya
SIVARAMAN, Vijay
FRIEDMAN, Arik
BORELL, Roksana
Exposing and mitigating privacy loss in crowdsourced survey platforms
description 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 atsource obfuscation.
format text
author KANDAPPU, Thivya
SIVARAMAN, Vijay
FRIEDMAN, Arik
BORELL, Roksana
author_facet KANDAPPU, Thivya
SIVARAMAN, Vijay
FRIEDMAN, Arik
BORELL, Roksana
author_sort KANDAPPU, Thivya
title Exposing and mitigating privacy loss in crowdsourced survey platforms
title_short Exposing and mitigating privacy loss in crowdsourced survey platforms
title_full Exposing and mitigating privacy loss in crowdsourced survey platforms
title_fullStr Exposing and mitigating privacy loss in crowdsourced survey platforms
title_full_unstemmed Exposing and mitigating privacy loss in crowdsourced survey platforms
title_sort exposing and mitigating privacy loss in crowdsourced survey platforms
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url 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
_version_ 1770575441462034432

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