Publications by Kévin Clément Huguenin

HideMyApp : Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Thi Van Anh Pham, Italo Ivan Dacosta Petrocelli, John Stephan, Eleonora Losiouk

Millions of users rely on mobile health (mHealth) apps to manage their wellness and medical conditions. Although the popularity of such apps continues to grow, several privacy and security challenges can hinder their potential. In particular, the simple fa ...

2019

HideMyApp : Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, John Stephan, Eleonora Losiouk

Millions of users rely on mobile health (mHealth) apps to manage their wellness and medical conditions. Although the popularity of such apps continues to grow, several privacy and security challenges can hinder their potential. In particular, the simple fa ...

USENIX ASSOC2019

The (Co)-Location Sharing Game

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin, Alexandra-Mihaela Olteanu

Most popular location-based social networks, such as Facebook and Foursquare, let their (mobile) users post location and co-location (involving other users) information. Such posts bring social benefits to the users who post them but also to their friends ...

2019

HideMyApp: Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Thi Van Anh Pham, Italo Ivan Dacosta Petrocelli, John Stephan, Eleonora Losiouk

Millions of users rely on mobile health (mHealth) apps to manage their wellness and medical conditions. Although the popularity of such apps continues to grow, several privacy and security challenges can hinder their potential. In particular, the simple fa ...

Proceedings of the 28th USENIX Security Symposium2019

A Survey on Interdependent Privacy

Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin, Benjamin Trubert

The privacy of individuals does not only depend on their own actions and data but may also be affected by the privacy decisions and by the data shared by others individuals. This interdependence is an essential aspect of privacy and ignoring it can lead to ...

2019

A Predictive Model for User Motivation and Utility Implications of Privacy-Protection Mechanisms in Location Check-Ins

Jean-Pierre Hubaux, Igor Bilogrevic, Reza Shokri, Kévin Clément Huguenin, Joana Catarina Soares Machado, Stefan Mihaila, Italo Ivan Dacosta Petrocelli

Location check-ins contain both geographical and semantic information about the visited venues. Semantic information is usually represented by means of tags (e.g., “restaurant”). Such data can reveal some personal information about users beyond what they a ...

2018

Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data

Jean-Pierre Hubaux, Kévin Clément Huguenin, Alexandra-Mihaela Olteanu, Italo Ivan Dacosta Petrocelli

Individuals share increasing amounts of personal data online. This data often involves–or at least has privacy implications for–data subjects other than the individual who shares it (e.g., photos, genomic data) and the data is shared without their consent. ...

2018

Towards Usable Checksums: Automating the Integrity Verification ofWeb Downloads for the Masses

Mauro Cherubini, Mathias Jacques Jean-Marc Humbert, Igor Bilogrevic, Bertil Chapuis, Kévin Clément Huguenin, Alexandre Meylan

Internet users can download software for their computers from app stores (e.g., Mac App Store and Windows Store) or from other sources, such as the developers' websites. Most Internet users in the US rely on the latter, according to our representative stud ...

ASSOC COMPUTING MACHINERY2018

SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices

Jean-Pierre Hubaux, Kévin Clément Huguenin, Mohammad Emtiyaz Khan, Joana Catarina Soares Machado, Katarzyna Lucja Olejnik, Italo Ivan Dacosta Petrocelli

Permission systems are the main defense that mobile platforms, such as Android and iOS, offer to users to protect their private data from prying apps. However, due to the tension between usability and control, such systems have several limitations that oft ...

IEEE2017

Quantifying Interdependent Privacy Risks with Location Data

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Reza Shokri, Kévin Clément Huguenin, Alexandra-Mihaela Olteanu

Co-location information about users is increasingly available online. For instance, mobile users more and more frequently report their co-locations with other users in the messages and in the pictures they post on social networking websites by tagging the ...

Ieee Computer Soc2017

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

Jean-Pierre Hubaux, Kévin Clément Huguenin, Florian Tramèr, Bastien Jacot-Guillarmod, Thi Van Anh Pham, Taha Hajar, Italo Ivan Dacosta Petrocelli

In the past few years, we have witnessed a rise in the popularity of ride-hailing services (RHSs), an online marketplace that enables accredited drivers to use their own cars to drive ride-hailing users. Unlike other transportation services, RHSs raise sig ...

2017

ORide: A Privacy-Preserving yet Accountable Ride-Hailing Service

Jean-Pierre Hubaux, Kévin Clément Huguenin, Thi Van Anh Pham, Italo Ivan Dacosta Petrocelli, Guillaume Francois Maurice Endignoux, Juan Ramón Troncoso-Pastoriza

In recent years, ride-hailing services (RHSs) have become increasingly popular, serving millions of users per day. Such systems, however, raise significant privacy concerns, because service providers are able to track the precise mobility patterns of all r ...

2017

On the Privacy Implications of Location Semantics

Jean-Pierre Hubaux, Kévin Clément Huguenin, Urs Beda Hengartner

Mobile users increasingly make use of location-based online services enabled by localization systems. Not only do they share their locations to obtain contextual services in return (e.g., 'nearest restaurant'), but they also share, with their friends, info ...

2016

A Machine-Learning Based Approach to Privacy-Aware Information-Sharing in Mobile Social Networks

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

Contextual information about users is increasingly shared on mobile social networks. Examples of such information include users' locations, events, activities, and the co-presence of others in proximity. When disclosing personal information, users take int ...

Elsevier Science Bv2016

Social-Aware Replication in Geo-Diverse Online Systems

Kévin Clément Huguenin

Distributing long-tail content is a difficult task due to the low amortization of bandwidth transfer costs as such content has limited number of views. Two recent trends are making this problem harder. First, the increasing popularity of user-generated con ...

Institute of Electrical and Electronics Engineers2015

Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms

Jean-Pierre Hubaux, Igor Bilogrevic, Reza Shokri, Kévin Clément Huguenin, Stefan Mihaila

Location check-ins contain both geographical and semantic information about the visited venues, in the form of tags (e.g., “restaurant”). Such data might reveal some personal information about users beyond what they actually want to disclose, hence their p ...

2015

De-anonymizing Genomic Databases Using Phenotypic Traits

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Joachim Ludovic Hugonot, Kévin Clément Huguenin, Erman Ayday

People increasingly have their genomes sequenced and some of them share their genomic data online. They do so for various purposes, including to find relatives and to help advance genomic research. An individual's genome carries very sensitive, private inf ...

2015

Computing in social networks

Rachid Guerraoui, Anne-Marie Kermarrec, Kévin Clément Huguenin, Andrei Giurgiu

This paper defines the problem of Scalable Secure computing in a Social network: we call it the S-3 problem. In short, nodes, directly reflecting on associated users, need to compute a symmetric function f : V-n -> U of their inputs in a set of constant si ...

Elsevier2014

Tracking freeriders in gossip-based content dissemination systems

Rachid Guerraoui, Maxime Monod, Anne-Marie Kermarrec, Kévin Clément Huguenin

Gossip-based protocols have proven very efficient for disseminating high-bandwidth content such as video streams in a peer-to-peer fashion. However, for the protocols to work, nodes are required to collaborate by devoting a fraction of their upload bandwid ...

Elsevier2014

A Location-Privacy Threat Stemming from the Use of Shared Public IP Addresses

Jean-Pierre Hubaux, Nevena Vratonjic, Vincent Bindschaedler, Kévin Clément Huguenin

This paper presents a concrete and widespread example of situation where a user’s location privacy is unintentionally compromised by others, specifically the location-privacy threat that exists at access points (public hotspots, FON, home routers, etc.) th ...

Ieee Computer Soc2014