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Théo JOURDAN
Théo JOURDAN
ISIR, Sorbonne Université
Adresse e-mail validée de sorbonne-universite.fr - Page d'accueil
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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
272021
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
262018
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
212021
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
102020
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
82021
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
42021
Machine Learning for Musical Expression: A Systematic Literature Review
T Jourdan, B Caramiaux
New Interfaces for Musical Expression (NIME), 319-331, 2023
22023
Culture and politics of machine learning in nime: A preliminary qualitative inquiry
T Jourdan, B Caramiaux
New Interfaces for Musical Expression (NIME), 332-338, 2023
12023
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
12019
Apprendre l’apprentissage automatique: un retour d’expérience
N Debs, S Peignier, C Douarre, T Jourdan, C Rigotti, C Frindel
J3eA 21, 2013, 2022
2022
Privacy and transparency in learning systems for healthcare
T Jourdan
Université de Lyon, 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
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