Privacy-aware data management in information networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Betrayed by your ads!: reconstructing user profiles from targeted ads
PETS'12 Proceedings of the 12th international conference on Privacy Enhancing Technologies
Privacy-aware personalization for mobile advertising
Proceedings of the 2012 ACM conference on Computer and communications security
Testing the lipschitz property over product distributions with applications to data privacy
TCC'13 Proceedings of the 10th theory of cryptography conference on Theory of Cryptography
Know your personalization: learning topic level personalization in online services
Proceedings of the 22nd international conference on World Wide Web
Bias in algorithmic filtering and personalization
Ethics and Information Technology
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In this paper we propose a new class of attacks that exploit advertising systems offering micro targeting capabilities in order to breach user privacy. We study the advertising system offered by the world's largest online social network, Face book, and the risks that the design of the system poses to the privacy of its users. We propose, describe and provide experimental evidence of several novel approaches to exploiting the advertising system in order to obtain private user information. We communicated our findings to Face book on July 13, 2010, and received a prompt response. On July 20, 2010, Face book launched a change to their advertising system that made the kind of attacks we describe more difficult but not impossible to implement.