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Data-Aware Privacy-Preserving Machine Learning

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When Whereabouts is No Longer Thereabouts

Julien Freudiger

Modern mobile devices are fast, programmable and feature localization and wireless capabilities. These technological advances notably facilitate mobile access to Internet, development of mobile applications and sharing of personal information, such as loca ...

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Distributed Constraint Optimization

Thomas Léauté

Distributed Constraint Satisfaction (DisCSP) and Distributed Constraint Optimization (DCOP) are formal frameworks that can be used to model a variety of problems in which multiple decision-makers cooperate towards a common goal: from computing an equilibri ...

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Privacy in Mobile Computing for Location-Sharing-Based Services

Jean-Pierre Hubaux, Imad Aad, Murtuza Jadliwala, Igor Bilogrevic

Location-Sharing-Based Services (LSBS) complement Location-Based Services by using locations from a group of users, and not just individuals, to provide some contextualized service based on the locations in the group. However, there are growing concerns ab ...

Springer2011

A Framework for the Validation of Privacy Protection Solutions in Video Surveillance

Touradj Ebrahimi, Frédéric Dufaux

The issue of privacy protection in video surveillance has drawn a lot of interest lately. However, thorough performance analysis and validation is still lacking, especially regarding the fulfillment of privacy-related requirements. In this paper, we put fo ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

MobiCrowd: A Collaborative Location-Privacy Preserving Mobile Proxy

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Reza Shokri

We demonstrate the first, to the best of our knowledge, LBS client that safeguards user privacy against non-trustworthy LBS servers. Our collaborative approach allows the client to obtain responses from its near-by peers rather than submitting the query to ...

2010

Protecting Privacy in Multi-agent Optimization

Eric Zbinden

Many real-life optimization problems involve multiple entities, or agents (individuals, companies...), with their own private constraints and preferences, communicating with each other in order to find a solution that maximizes the overall public satisfact ...

2010

Statistical analysis of clusters of extreme events

Mária Süveges

The thesis is a contribution to extreme-value statistics, more precisely to the estimation of clustering characteristics of extreme values. One summary measure of the tendency to form groups is the inverse average cluster size. In extreme-value context, th ...

EPFL2009

Privacy-Preserving Multi-agent Constraint Satisfaction

Boi Faltings, Thomas Léauté

Constraint satisfaction has been a very successful paradigm for solving problems such as resource allocation and planning. Many of these problems pose themselves in a context involving multiple agents, and protecting privacy of information among them is of ...

IEEE Computer Society Press2009

Interaction maximization and the observed distribution of urban populations: An agent-based model of humanity's metric condition

Pierre-Emmanuel Dessemontet, André Ourednik, Antonio Da Cunha, Jean-Bernard Racine

The very existence of urban formations on all inhabited continents and throughout the history of mankind since the 3rd millennium B.C. leads to suppose a tendency of some structured societies to maximize interaction by minimizing physical distance. Were th ...

2007

On Privacy Models for RFID

Serge Vaudenay

We provide a formal model for identification schemes. Under this model, we give strong definitions for security and privacy. Our model captures the notion of a powerful adversary who can monitor all communications, trace tags within a limited period of tim ...

Springer-Verlag2007