| Toward privacy in IoT mobile devices for activity recognition T Jourdan, A Boutet, C Frindel Proceedings of the 15th EAI international conference on mobile and …, 2018 | 26 | 2018 |
| DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks A Boutet, C Frindel, S Gambs, T Jourdan, RC Ngueveu Proceedings of the 2021 ACM asia conference on computer and communications …, 2021 | 23 | 2021 |
| The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review T Jourdan, N Debs, C Frindel Sensors 21 (14), 4808, 2021 | 15 | 2021 |
| Privacy-Preserving IoT framework for activity recognition in personal healthcare monitoring T Jourdan, A Boutet, A Bahi, C Frindel ACM Transactions on Computing for Healthcare 2 (1), 1-22, 2020 | 8 | 2020 |
| Privacy assessment of federated learning using private personalized layers T Jourdan, A Boutet, C Frindel 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 7 | 2021 |
| Motion sensor data anonymization by time-frequency filtering N Debs, T Jourdan, A Moukadem, A Boutet, C Frindel 2020 28th European Signal Processing Conference (EUSIPCO), 1707-1711, 2021 | 4 | 2021 |
| Machine Learning for Musical Expression: A Systematic Literature Review T Jourdan, B Caramiaux | 1 | 2023 |
| Culture and politics of machine learning in nime: A preliminary qualitative inquiry T Jourdan, B Caramiaux | 1 | 2023 |
| Vers la protection de la vie privée dans les objets connectés pour la reconnaissance d'activité en santé T Jourdan, A Boutet, C Frindel Revue des Sciences et Technologies de l'Information-Série TSI: Technique et …, 2019 | 1 | 2019 |
| Privacy and transparency in learning systems for healthcare T Jourdan Université de Lyon, 2021 | | 2021 |
| Apprendre l'apprentissage automatique: un retour d'expérience N Debs, S Peignier, C Douarre, T Jourdan, C Rigotti, C Frindel CETSIS 2021-Colloque de l'Enseignement des Technologies et des Sciences de l …, 2021 | | 2021 |
| Personalized Layers T Jourdan, A Boutet, C Frindel | | |
| DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks T Jourdan, A Boutet, C Frindel, RC Ngueveu, S Gambs | | |
Carole FRINDELAssociate Professor, HDR, University of Lyon, CREATIS, FranceAdresse e-mail validée de creatis.insa-lyon.fr
