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Théo Jourdan
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2020 – today
- 2023
- [c6]Théo Jourdan, Baptiste Caramiaux:
Machine Learning for Musical Expression: A Systematic Literature Review. NIME 2023 - [c5]Théo Jourdan, Baptiste Caramiaux:
Culture and Politics of Machine Learning in NIME: A Preliminary Qualitative Inquiry. NIME 2023 - 2021
- [b1]Théo Jourdan:
Privacy and transparency in learning systems for healthcare. (Protection de la vie privée dans les systèmes d'apprentissage pour le domaine de la santé). University of Lyon, France, 2021 - [j2]Théo Jourdan, Antoine Boutet, Amine Bahi, Carole Frindel:
Privacy-preserving IoT Framework for Activity Recognition in Personal Healthcare Monitoring. ACM Trans. Comput. Heal. 2(1): 3:1-3:22 (2021) - [j1]Théo Jourdan
, Noëlie Debs
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors 21(14): 4808 (2021) - [c4]Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Rosin Claude Ngueveu:
DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks. AsiaCCS 2021: 672-686 - [c3]Théo Jourdan, Antoine Boutet, Carole Frindel:
Privacy Assessment of Federated Learning Using Private Personalized Layers. MLSP 2021: 1-6 - [i2]Théo Jourdan, Antoine Boutet, Carole Frindel:
Privacy Assessment of Federated Learning using Private Personalized Layers. CoRR abs/2106.08060 (2021) - 2020
- [c2]Noëlie Debs, Théo Jourdan, Ali Moukadem, Antoine Boutet, Carole Frindel:
Motion sensor data anonymization by time-frequency filtering. EUSIPCO 2020: 1707-1711 - [i1]Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. CoRR abs/2003.10325 (2020)
2010 – 2019
- 2018
- [c1]Théo Jourdan, Antoine Boutet, Carole Frindel:
Toward privacy in IoT mobile devices for activity recognition. MobiQuitous 2018: 155-165
Coauthor Index
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