The paper reports an Android proof of concept for privacy-preserving targeted advertising that adds differential privacy to mobile user profiles and retrieves ads through private information retrieval, with PIR delays of roughly 0.8 to 4 seconds.
A Machine Learning Approach to User Profiling for Data Annotation of Online Behavior
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Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
The paper reports an Android proof of concept for privacy-preserving targeted advertising that adds differential privacy to mobile user profiles and retrieves ads through private information retrieval, with PIR delays of roughly 0.8 to 4 seconds.