Estimating the success of re-identifications in incomplete datasets using generative models L Rocher, JM Hendrickx, YA De Montjoye Nature communications 10 (1), 1-9, 2019 | 231 | 2019 |
Seaborn: statistical data visualization ML Waskom Journal of Open Source Software 6 (60), 3021, 2021 | 106 | 2021 |
On the privacy-conscientious use of mobile phone data YA de Montjoye, S Gambs, V Blondel, G Canright, N De Cordes, ... Scientific data 5 (1), 1-6, 2018 | 61 | 2018 |
bandicoot: A python toolbox for mobile phone metadata YA De Montjoye, L Rocher, AS Pentland The Journal of Machine Learning Research 17 (1), 6100-6104, 2016 | 26 | 2016 |
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise A Gadotti, F Houssiau, L Rocher, B Livshits, YA de Montjoye 28th USENIX Security Symposium (USENIX Security 2019), 1081-1098, 2019 | 15* | 2019 |
Solving Artificial Intelligence’s Privacy Problem YA de Montjoye, A Farzanehfar, J Hendrickx, L Rocher Field Actions Science Reports, 80-83, 2017 | 14 | 2017 |
Données anonymes… bien trop faciles à identifier L Rocher The Conversation, 2019 | | 2019 |
Anonymization in the 21st century: a critical examination of de-identification for modern large-scale data L Rocher UCL-Université Catholique de Louvain, 2019 | | 2019 |
Blogpost: When the signal is in the noise: Exploiting Aircloak’s Diffix anonymization mechanism A Gadotti, F Houssiau, L Rocher, YA de Montjoye | | |