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Related publications (27)

Population Sensing Using Mobile Devices : a Statistical Opportunity or a Privacy Nightmare?

In our daily lives, our mobile phones sense our movements and interactions via a rich set of embedded sensors such as a GPS, Bluetooth, accelerometers, and microphones. This enables us to use mobile phones as agents for collecting spatio-temporal data. The ...

EPFL2014

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

Quantifying the Effect of Co-location Information on Location Privacy

Jean-Pierre Hubaux, Reza Shokri, Kévin Clément Huguenin, 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

Nowhere to Hide: Navigating around Privacy in Online Social Networks

Jean-Pierre Hubaux, Matthias Grossglauser, Mathias Jacques Jean-Marc Humbert, Théophile Studer

In this paper, we introduce a navigation privacy attack, where an external adversary attempts to find a target user by exploiting publicly visible attributes of intermediate users. If such an attack is successful, it implies that a user cannot hide simply ...

2013

WHATSUP: A Decentralized Instant News Recommender

Rachid Guerraoui, Anne-Marie Kermarrec

We present WhatsUp, a collaborative filtering system for disseminating news items in a large-scale dynamic setting with no central authority. WhatsUp constructs an implicit social network based on user profiles that express the opinions of users about the ...

2013

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Touradj Ebrahimi, Péter Vajda, Ivan Ivanov

Many images uploaded to social networks are related to travel, since people consider traveling to be an important event in their life. However, a signiﬁcant amount of travel images on the Internet lack proper geographical annotations or tags. In many cases ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Trust-aware peer sampling: Performance and privacy tradeoffs

Anne-Marie Kermarrec, Julien Michel Stainer

The ability to identify people that share one's own interests is one of the most interesting promises of the Web 2.0 driving user-centric applications such as recommendation systems or collaborative marketplaces. To be truly useful, however, information ab ...

Elsevier Science Bv2013