Publications associées à Privacy concerns with social networking services

Secure and Private Proofs for Location-Based Activity Summaries in Urban Areas

Jean-Pierre Hubaux, Kévin Clément Huguenin, Igor Bilogrevic, Thi Van Anh Pham

Activity-based social networks, where people upload and share information about their location-based activities (e.g., the routes of their activities), are increasingly popular. Such systems, however, raise privacy and security issues: the service provider ...

2014

SpeakUp in the Classroom: Anonymous Temporary Social Media for Better Interactions

Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk, Sten Govaerts

Student participation in class is an important aspect of the learning experience, and can provide valuable feedback for teachers. However, getting students to interact in large classrooms is challenging. This paper presents SpeakUp, a mobile temporary soci ...

2014

User-side adaptive protection of location privacy in participatory sensing

Karl Aberer, Jean-Pierre Hubaux, Rammohan Narendula, Berker Agir

The participatory sensing paradigm, through the growing availability of cheap sensors in mobile devices, enables applications of great social and business interest, e.g., electrosmog exposure measurement and early earthquake detection. However, users' priv ...

Springer Verlag2014

Quantifying the Effect of Co-location Information on Location Privacy

Jean-Pierre Hubaux, Kévin Clément Huguenin, Reza Shokri, Alexandra-Mihaela Olteanu

Mobile users increasingly report their co-locations with other users, in addition to revealing their locations to online services. For instance, they tag the names of the friends they are with, in the messages and in the pictures they post on social networ ...

Springer-Verlag Berlin2014

Comparing the Predictive Capability of Social and Interest Affinity for Recommendations

Karl Aberer, Anne-Marie Kermarrec, Alexandra Olteanu

The advent of online social networks created new prediction opportunities for recommender systems: instead of relying on past rating history through the use of collaborative filtering (CF), they can leverage the social relations among users as a predictor ...

Springer-Verlag Berlin2014

Privacy-Preserving Function Computation by Exploitation of Friendships in Social Networks

Martin Vetterli, Patrick Thiran, Jayakrishnan Unnikrishnan, Farid Movahedi Naini

We study the problem of privacy-preserving computation of functions of data that belong to users in a social network under the assumption that users are willing to share their private data with trusted friends in the network. We demonstrate that such trust ...

Ieee2014

Mining Crowdsourced First Impressions in Online Social Video

Daniel Gatica-Perez, Joan Isaac Biel Tres

While multimedia and social computing research have used crowdsourcing techniques to annotate objects, actions, and scenes in social video sites like YouTube, little work has ad- dressed the crowdsourcing of personal and social traits in online social vide ...

2014

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani, Georgios Liassas

Demand response (DR) is a Smart Grid application that aims at managing consumption of electricity in response to supply-side signals. The exchange of sensitive information (i.e., electricity consumption data) between the consumers and the DR provider is ne ...

2014

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Privacy concerns with social networking services

Secure and Private Proofs for Location-Based Activity Summaries in Urban Areas

SpeakUp in the Classroom: Anonymous Temporary Social Media for Better Interactions

User-side adaptive protection of location privacy in participatory sensing

Quantifying the Effect of Co-location Information on Location Privacy

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

Comparing the Predictive Capability of Social and Interest Affinity for Recommendations

Towards optimal distortion-based visual privacy filters

Privacy-Preserving Function Computation by Exploitation of Friendships in Social Networks

Mining Crowdsourced First Impressions in Online Social Video

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Graph Chatbot

Chattez avec Graph Search

Towards optimal distortion-based visual privacy filters

Privacy-Preserving Function Computation by Exploitation of Friendships in Social Networks

User-side adaptive protection of location privacy in participatory sensing

Comparing the Predictive Capability of Social and Interest Affinity for Recommendations

SpeakUp in the Classroom: Anonymous Temporary Social Media for Better Interactions

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

Quantifying the Effect of Co-location Information on Location Privacy

Secure and Private Proofs for Location-Based Activity Summaries in Urban Areas

Mining Crowdsourced First Impressions in Online Social Video

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution