2 citations · 4 across the 3 of their papers we have counts for
4 papers
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy
Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin
Analyzing mobility behavior of users is extremely useful to create or improve existing services. Several research works have been done in order to study mobility behavior of users…
Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation
Arielle Moro, Vaibhav Kulkarni, Pierre-Adrien Ghiringhelli +2
In this paper, we present Breadcrumbs, a mobility dataset collected in the city of Lausanne (Switzerland) from multiple mobile phone sensors (GPS, WiFi, Bluetooth) from 81 users fo…
Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design
Vaibhav Kulkarni, Arielle Moro, Bertil Chapuis +1
Sharing location traces with context-aware service providers has privacy implications. Location-privacy preserving mechanisms, such as obfuscation, anonymization and cryptographic…
Discovering demographic data of users from the evolution of their spatio-temporal entropy
Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin
Inferring information related to users enables to highly improve the quality of many mobile services. For example, knowing the demographic characteristics of a user allows a servic…