- FLUTE: Federate Learning and mUlti-party computation Techniques for prostatE cancer (HORIZON-HLTH-2022-IND-13-02) 2023-2026
- FedMalin: FEDerated MAchine Learning over the INternet. INRIA Defi, 2022-2026.
- TRUMPET: TRUstworthy Multi-site Privacy Enhancing Technologies. 2022-2025
- IPop, Projet interdisciplinaire sur la protection des données
personnelles, PEPR Cybersécurité 2022-2028. - CAPSUL, CAmpus Participatif en Santé numérique du site Universitaire de LilleAppel à Manifestation d’Intérêt « Compétences et Métiers d’Avenir » Santé numérique, PIA4. 2022-2027.
- PRIDE: Privacy-Preserving Decentralized Machine Learning ANR, 2020-2024
- PMR: Privacy-preserving methods for Medical Research, ANR, 2021-2025
- IMPRESS: Improving embeddings with semantic knowledge, Inria-DFKI 2020-2024
- SLANT: Spin and bias in language analyzed in news and texts, ANR PRCI 2020-2024
- COMPRISE: Cost-effective, Multilingual, Privacy-driven voice-enabled Services, H2020 ICT, 18-21
- ANR DEEP-Privacy: Distributed, Personalized, Privacy-Preserving Learning for Speech Processing, ANR, 19-23
- PAMELA: Personalized and decentrAlized MachinE Learning under constrAints, ANR, 16-20
- GRASP: GRAph-based machine learning for linguistic Structure Prediction, ANR JCJC, 16-20
- REM: Analysis of English modal constructions, ANR, 16-20
- PAD-ML: Privacy-Aware Distributed Machine Learning, North-European Associate Team with the PPDA team at the Alan Turing Institute, 18-19
- HyAIAI: Hybrid Approaches for Interpretable AI, INRIA 2019-2022
- MUST: Méthodologie d’exploitation des données d’usage des véhicules et d’identification de nouveaux services pour les usagers et les territoires, ADEME, 17-19
- LEGO: LEarning GOod representations for natural language processing, Inria International team with USC, 17-18 et 19-20
- MyLocalInfo: Open API for privacy-friendly collaborative computing in the internet of things, CPER DATA, 18-21
- SOM: Statistical modeling for Optimization Mobility, ERC PoC, 16-17
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