Next place prediction using mobility markov chains S Gambs, MO Killijian, MN del Prado Cortez Proceedings of the first workshop on measurement, privacy, and mobility, 1-6, 2012 | 671 | 2012 |
Show me how you move and I will tell you who you are S Gambs, MO Killijian, MN del Prado Cortez Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and …, 2010 | 321 | 2010 |
Quantum speed-up for unsupervised learning E Aïmeur, G Brassard, S Gambs Machine Learning 90, 261-287, 2013 | 255 | 2013 |
De-anonymization attack on geolocated data S Gambs, MO Killijian, MN del Prado Cortez Journal of Computer and System Sciences 80 (8), 1597-1614, 2014 | 250 | 2014 |
Machine learning in a quantum world E Aïmeur, G Brassard, S Gambs Advances in Artificial Intelligence: 19th Conference of the Canadian Society …, 2006 | 217 | 2006 |
Fairwashing: the risk of rationalization U Aïvodji, H Arai, O Fortineau, S Gambs, S Hara, A Tapp International Conference on Machine Learning, 161-170, 2019 | 168 | 2019 |
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 | 166 | 2018 |
Quantum clustering algorithms E Aïmeur, G Brassard, S Gambs Proceedings of the 24th international conference on machine learning, 1-8, 2007 | 122 | 2007 |
Meeting points in ridesharing: A privacy-preserving approach UM Aïvodji, S Gambs, MJ Huguet, MO Killijian Transportation Research Part C: Emerging Technologies 72, 239-253, 2016 | 120 | 2016 |
Towards a privacy-enhanced social networking site E Aimeur, S Gambs, A Ho 2010 International Conference on Availability, Reliability and Security, 172-179, 2010 | 108 | 2010 |
Heterogeneous differential privacy M Alaggan, S Gambs, AM Kermarrec arXiv preprint arXiv:1504.06998, 2015 | 102 | 2015 |
Differential privacy models for location-based services E ElSalamouny, S Gambs Transactions on Data Privacy 9 (1), 15-48, 2016 | 86 | 2016 |
IOTFLA: A secured and privacy-preserving smart home architecture implementing federated learning UM Aïvodji, S Gambs, A Martin 2019 IEEE security and privacy workshops (SPW), 175-180, 2019 | 82 | 2019 |
BLIP: non-interactive differentially-private similarity computation on bloom filters M Alaggan, S Gambs, AM Kermarrec Symposium on Self-Stabilizing Systems, 202-216, 2012 | 81 | 2012 |
Privacy-preserving boosting S Gambs, B Kégl, E Aïmeur Data Mining and Knowledge Discovery 14, 131-170, 2007 | 81 | 2007 |
Anonymous quantum communication G Brassard, A Broadbent, J Fitzsimons, S Gambs, A Tapp Advances in Cryptology–ASIACRYPT 2007: 13th International Conference on the …, 2007 | 68 | 2007 |
Highly dynamic distributed computing with byzantine failures R Guerraoui, F Huc, AM Kermarrec Proceedings of the 2013 ACM symposium on Principles of distributed computing …, 2013 | 65 | 2013 |
Model extraction from counterfactual explanations U Aïvodji, A Bolot, S Gambs arXiv preprint arXiv:2009.01884, 2020 | 63 | 2020 |
An optimal quantum algorithm to approximate the mean and its application for approximating the median of a set of points over an arbitrary distance G Brassard, F Dupuis, S Gambs, A Tapp arXiv preprint arXiv:1106.4267, 2011 | 60 | 2011 |
Upp: User privacy policy for social networking sites E Aïmeur, S Gambs, A Ho 2009 Fourth International Conference on Internet and Web Applications and …, 2009 | 57 | 2009 |