Publications related to Private and Secure Distributed Learning

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Pascal Frossard, Nikolaos Thomos, Eymen Kurdoglu

In this paper, we deal with the problem of jointly determining the optimal coding strategy and the scheduling decisions when receivers obtain layered data from multiple servers. The layered data is encoded by means of prioritized random linear coding (PRLC ...

Ieee-Inst Electrical Electronics Engineers Inc2015

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Karl Aberer, Michael Ignaz Schumacher, Matteo Vasirani, Alevtina Dubovitskaya

In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility an ...

Springer International Publishing2015

A tutorial on machine learning in educational science

Pierre Dillenbourg, Lukasz Kidzinski

Popularity of massive online open courses (MOOCs) allowed educational researchers to address problems which were not accessible few years ago. Although classical statistical techniques still apply, large datasets allow us to discover deeper patterns and to ...

2015

Beyond One Third Byzantine Failures

Rachid Guerraoui, Anne-Marie Kermarrec, Cheng Wang

The Byzantine agreement problem requires a set of

n

processes to agree on a value sent by a transmitter, despite a subset of

b

processes behaving in an arbitrary, i.e. Byzantine, manner and sending corrupted messages to all processes in the system. It ...

2015

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

Igor Bilogrevic

By the end of 2013, the number of internet-connected mobile devices is expected to exceed that of humans. Omnipresent and context-aware, mobile devices enable people to communicate and exchange data anytime and almost anywhere. The myriad of ”digital footp ...

EPFL2014

AngeLA: Putting the Teacher in Control of Student Privacy in the Online Classroom

Denis Gillet, Andrii Vozniuk, Sten Govaerts

Learning analytics (LA) is often considered as a means to improve learning and learning environments by measuring student behaviour, analysing the tracked data and acting upon the results. The use of LA tools implies recording and processing of student act ...

2014

Two-stage online inference model for traffic pattern analysis and anomaly detection

Kwang Moo Yi

In this paper, we propose a method for modeling trajectory patterns with both regional and velocity observations through the probabilistic topic model. By embedding Gaussian models into the discrete topic model framework, our method uses continuous velocit ...

Springer Verlag2014

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

Quantifying and Protecting Location Privacy

Reza Shokri

Recent developments in information and communication technologies have been profound and life-changing. Most people are now equipped with smart phones with high computation power and communication capabilities. These devices can efficiently run multiple so ...

EPFL2013

How Others Compromise Your Location Privacy: The Case of Shared Public IPs at Hotspots

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

Location privacy has been extensively studied over the last few years, especially in the context of location-based services where users purposely disclose their location to benefit from convenient context-aware services. To date, however, little attention ...

2013

Private and Secure Distributed Learning

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Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

A tutorial on machine learning in educational science

Beyond One Third Byzantine Failures

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

AngeLA: Putting the Teacher in Control of Student Privacy in the Online Classroom

Two-stage online inference model for traffic pattern analysis and anomaly detection

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

Quantifying and Protecting Location Privacy

How Others Compromise Your Location Privacy: The Case of Shared Public IPs at Hotspots

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

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

How Others Compromise Your Location Privacy: The Case of Shared Public IPs at Hotspots

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

AngeLA: Putting the Teacher in Control of Student Privacy in the Online Classroom

Quantifying and Protecting Location Privacy

Two-stage online inference model for traffic pattern analysis and anomaly detection

Beyond One Third Byzantine Failures

A tutorial on machine learning in educational science