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Online Dating Quantification Practices: A Human-Machine Learning Process

The phenomenon of online dating via web and mobile phone applications involves several actors: graphical interfaces, developers, algorithmic systems for user matching, and users. These actors have been studied in parallel by the social sciences and by comp ...

EPFL2021

Declarative Variables in Online Dating: A Mixed-Method Analysis of a Mimetic-Distinctive Mechanism

Daniel Gatica-Perez, Jessica Carolina Pidoux

Declarative variables of self-description have a long-standing tradition in matchmaking media. With the advent of online dating platforms and their brand positioning, the volume and semantics of variables vary greatly across apps. However, a variable lands ...

2021

Too Quiet in the Library: An Empirical Study of Security Updates in Android Apps' Native Code

Mathias Josef Payer

Android apps include third-party native libraries to increase performance and to reuse functionality. Native code is directly executed from apps through the Java Native Interface or the Android Native Development Kit. Android developers add precompiled nat ...

IEEE COMPUTER SOC2021

Privacy-preserving photo sharing based on blockchain

Touradj Ebrahimi, Pablo Pfister

Sharing photos online has become an extremely popular activity, raising a wide concern on privacy issues related to the shared content. ProShare, a photo-sharing solution developed by Multimedia Signal Processing Group of EPFL addresses some of these priva ...

SPIE-INT SOC OPTICAL ENGINEERING2020

Privacy-Preserving Photo Sharing based on a Secure JPEG

Touradj Ebrahimi, Lin Yuan

Sharing photos online is a common activity on social networks and photo hosting platforms, such as Facebook, Pinterest, Instagram, or Flickr. However, after reports of citizens surveillance by governmental agencies and the scandalous leakage of celebrities ...

2015

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

Adaptive Information-Sharing for Privacy-Aware Mobile Social Networks

Jean-Pierre Hubaux, Kévin Clément Huguenin, Igor Bilogrevic, Murtuza Jadliwala, Berker Agir

Personal and contextual information are increasingly shared via mobile social networks. Users' locations, activities and their co-presence can be shared easily with online ``friends'', as their smartphones already access such information from embedded sens ...

2013

Towards the Realization of Decentralized Online Social Networks: an Empirical Study

Karl Aberer, Rammohan Narendula

As the Online Social Networks (OSNs) amass unprecedented amounts of personal information, the privacy concerns gain considerable attention from the community. Apart from privacy-enabling approaches for existing OSNs, a number of initiatives towards buildin ...

2012

Ad-blocking Games: Monetizing Online Content Under the Threat of Ad Avoidance

Jean-Pierre Hubaux, Nevena Vratonjic, Jens Grossklags

Much of the Internet economy relies on online advertising for monetizing digital content: Users are expected to accept the presence of online advertisements in exchange for content being free. However, online advertisements have become a serious problem fo ...

2012

Multi-Graph Sampling Of Online Communities Via Mean Hitting Time

We derive a framework for sampling online communities based on the mean hitting time of its members, considering that there are multiple graphs associated with the same vertex set V representing the social network. First, we formulate random walk models on ...

Ieee2012