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Career

· Professor of Applied Mathematics and Computer Science, Imperial College London2025–

Publications (52)

Predicting Personality Using Novel Mobile Phone-Based Metrics
Social Computing, Behavioral Modeling, and Prediction · 2013
325
cited
D4D-Senegal: The Second Mobile Phone Data for Development Challenge
arXiv.org · 2014
155
cited
Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics
arXiv.org · 2015
104
cited
Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data
2009 International Conference on Computational Science and Engineering · 2009
72
cited
On the Trusted Use of Large-Scale Personal Data
IEEE Data Engineering Bulletin · 2012
68
cited
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
USENIX Security Symposium · 2023
61
cited
bandicoot: a Python Toolbox for Mobile Phone Metadata
Journal of machine learning research · 2016
56
cited
Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling
Social Computing, Behavioral Modeling, and Prediction · 2014
48
cited
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning
USENIX Security Symposium · 2021
42
cited
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
arXiv.org · 2018
42
cited
Copyright Traps for Large Language Models
International Conference on Machine Learning · 2024
38
cited
Using Deep Learning to Predict Demographics from Mobile Phone Metadata
arXiv.org · 2015
31
cited
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
European Symposium on Research in Computer Security · 2023
30
cited
The risk of re-identification remains high even in country-scale location datasets
Patterns · 2021
26
cited
Modeling and Understanding Intrinsic Characteristics of Human Mobility
Handbook of Mobile Data Privacy · 2018
24
cited
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise
USENIX Security Symposium · 2018
21
cited
Differentially Private Compressive K-means
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2019
20
cited
Solving artificial intelligence’s privacy problem
2017
19
cited
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy
arXiv.org · 2018
16
cited
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
ESORICS Workshops · 2023
16
cited
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Professor Yves-Alexandre de Montjoye | Researcher Profile | Sotabase | Sotabase