Fakemask: A novel privacy preserving approach for smartphones
Users can enjoy personalized services provided by various context-aware applications that
collect users' contexts through sensor-equipped smartphones. Meanwhile, serious privacy …
collect users' contexts through sensor-equipped smartphones. Meanwhile, serious privacy …
[LIBRO][B] Differential privacy and applications
Corporations, organizations, and governments have collected, digitized, and stored
information in digital forms since the invention of computers, and the speed of such data …
information in digital forms since the invention of computers, and the speed of such data …
[HTML][HTML] On content-based recommendation and user privacy in social-tagging systems
Recommendation systems and content-filtering approaches based on annotations and
ratings essentially rely on users expressing their preferences and interests through their …
ratings essentially rely on users expressing their preferences and interests through their …
Image privacy prediction using deep neural networks
Images today are increasingly shared online on social networking sites such as Facebook,
Flickr, and Instagram. Image sharing occurs not only within a group of friends but also more …
Flickr, and Instagram. Image sharing occurs not only within a group of friends but also more …
Measuring the privacy of user profiles in personalized information systems
Personalized information systems are information-filtering systems that endeavor to tailor
information-exchange functionality to the specific interests of their users. The ability of these …
information-exchange functionality to the specific interests of their users. The ability of these …
Dynamic deep multi-modal fusion for image privacy prediction
With millions of images that are shared online on social networking sites, effective methods
for image privacy prediction are highly needed. In this paper, we propose an approach for …
for image privacy prediction are highly needed. In this paper, we propose an approach for …
Privacy-preserving topic model for tagging recommender systems
Tagging recommender systems provide users the freedom to explore tags and obtain
recommendations. The releasing and sharing of these tagging datasets will accelerate both …
recommendations. The releasing and sharing of these tagging datasets will accelerate both …
[HTML][HTML] Privacy protection against user profiling through optimal data generalization
Personalized information systems are information-filtering systems that endeavor to tailor
information-exchange functionality to the specific interests of their users. The ability of these …
information-exchange functionality to the specific interests of their users. The ability of these …
Data-driven caching with users' content preference privacy in information-centric networks
Information-centric networking (ICN) as an emerging networking paradigm has recently
gained significant attention, due to the improvement of content delivery efficiency. The built …
gained significant attention, due to the improvement of content delivery efficiency. The built …
Optimal forgery and suppression of ratings for privacy enhancement in recommendation systems
Recommendation systems are information-filtering systems that tailor information to users on
the basis of knowledge about their preferences. The ability of these systems to profile users …
the basis of knowledge about their preferences. The ability of these systems to profile users …