most citedData privacy for Mobility as a Service

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023

Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning

Sofiane Azogagh, Zelma Aubin Birba, Sébastien Gambs +1

Graphs are a widely used data structure for collecting and analyzing relational data. However, when the graph structure is distributed across several parties, its analysis is parti…

cs.CR20232 cited

Data privacy for Mobility as a Service

Zineb Garroussi, Antoine Legrain, Sébastien Gambs +2

Mobility as a Service (MaaS) is revolutionizing the transportation industry by offering convenient, efficient and integrated transportation solutions. However, the extensive use of…

cs.CV2023

Membership Inference Attack for Beluga Whales Discrimination

Voncarlos Marcelo Araújo, Sébastien Gambs, Clément Chion +3

To efficiently monitor the growth and evolution of a particular wildlife population, one of the main fundamental challenges to address in animal ecology is the re-identification of…

cs.CR2014

Sanitization of Call Detail Records via Differentially-private Summaries

Mohammad Alaggan, Sébastien Gambs, Stan Matwin +2

In this work, we initiate the study of human mobility from sanitized call detail records (CDRs). Such data can be extremely valuable to solve important societal issues such as the…

cs.CR2014

The Crypto-democracy and the Trustworthy

Sebastien Gambs, Samuel Ranellucci, and Alain Tapp

In the current architecture of the Internet, there is a strong asymmetry in terms of power between the entities that gather and process personal data (e.g., major Internet companie…