Yves-Alexandre de Montjoye
According to our database1, Yves-Alexandre de Montjoye authored at least 23 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
UNVEIL: Capture and Visualise WiFi Data Leakages.
Proceedings of the World Wide Web Conference, 2019
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise.
Proceedings of the 28th USENIX Security Symposium, 2019
Differentially Private Compressive K-means.
Proceedings of the IEEE International Conference on Acoustics, 2019
Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019
Modeling and Understanding Intrinsic Characteristics of Human Mobility.
Proceedings of the Handbook of Mobile Data Privacy., 2018
Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development.
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey.
When the signal is in the noise: The limits of Diffix's sticky noise.
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy.
Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data.
EPJ Data Sci., 2017
Improving official statistics in emerging markets using machine learning and mobile phone data.
EPJ Data Sci., 2017
Towards matching user mobility traces in large-scale datasets.
Improving individual predictions using social networks assortativity.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Modeling the Temporal Nature of Human Behavior for Demographics Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
bandicoot: a Python Toolbox for Mobile Phone Metadata.
J. Mach. Learn. Res., 2016
Using Deep Learning to Predict Demographics from Mobile Phone Metadata.
Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics.
D4D-Senegal: The Second Mobile Phone Data for Development Challenge.
Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014
Predicting Personality Using Novel Mobile Phone-Based Metrics.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
On the Trusted Use of Large-Scale Personal Data.
IEEE Data Eng. Bull., 2012
The Need for Champions for Approximate Social Search.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011
Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009