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Kévin Clément Huguenin

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Related publications (32)

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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

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

Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin, Mauro Cherubini, Igor Bilogrevic

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

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

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

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

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

A Survey on Interdependent Privacy

Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin

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

GosSkip, an Efficient, Fault-Tolerant and Self Organizing Overlay Using Gossip-based Construction and Skip-Lists principles

Rachid Guerraoui, Anne-Marie Kermarrec, Kévin Clément Huguenin, Sidath Handurukande

This paper presents GosSkip, a self organizing and fully distributed overlay that provides a scalable support to data storage and retrieval in dynamic environments. The structure of GosSkip, while initially possibly chaotic, eventually matches a perfect se ...

2006

Quantifying Interdependent Privacy Risks with Location Data

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

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

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

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

Inferring Social Ties in Academic Networks Using Short-Range Wireless Communications

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

WiFi base stations are increasingly deployed in both public spaces and private companies, and the increase in their density poses a significant threat to the privacy of connected users. Prior studies have provided evidence that it is possible to infer the ...

2013

On the Privacy Implications of Location Semantics

Jean-Pierre Hubaux, Kévin Clément Huguenin

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

Adaptive Information-Sharing for Privacy-Aware Mobile Social Networks

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

Tracking freeriders in gossip-based content dissemination systems

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

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

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

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

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

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

Interest modeling in games: the case of dead reckoning

Kévin Clément Huguenin

In games, the goals and interests of players are key factors in their behavior. However, techniques used by networked games to cope with infrequent updates and message loss, such as dead reckoning, estimate a player's movements based mainly on previous obs ...

Springer2013

HideMyApp : Hiding the Presence of Sensitive Apps on Android

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

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

USENIX ASSOC2019

De-anonymizing Genomic Databases Using Phenotypic Traits

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

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

Decentralized Polling with Respectable Participants

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

We consider the polling problem in a social network where participants care about their reputation: they do not want their vote to be disclosed nor their misbehaving, if any, to be publicly exposed. Assuming this reputation concern, we show that a simple s ...

2009

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

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

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