Our technologies are validated by research: discover our scientific publications

The co-founders and employees of Tune Insight have contributed to numerous scientific publications in the areas of applied cryptography, information security, machine learning and privacy protection.

This research was published in leading peer-reviewed international journals and conferences. It conforms the technological foundation on which our solution is based. Discover our contributions enabling secure collaboration on sensitive data.

Secure and Federated Genome-Wide Association Studies for Biobank-Scale Datasets
H. Cho, D. Froelicher, J. Chen, M. Edupalli, A. Pyrgelis, J.R. Troncoso-Pastoriza, J.P. Hubaux
Nature Genetics, 2025
Revisiting Key Decomposition Techniques for FHE: Simpler, Faster and More Generic
M. Georgieva, S. Carpov, N. Gama, S. Guasch, D. Jetchev
ASIACRYPT 2024
Scalable and Privacy-Preserving Federated Principal Component Analysis
D. Froelicher, H. Cho, M. Edupalli, J. Sousa, J.-P. Bossuat, A. Pyrgelis, J.R. Troncoso-Pastoriza, B. Berger, J.-P. Hubaux
IEEE SnP 2023
Privacy-preserving federated neural network learning for disease-associated cell classification
S. Sav, J.-P. Bossuat, J.R. Troncoso-Pastoriza, M. Claassen, J.-P. Hubaux
Cell Patterns 2022
Privacy-preserving federated analytics for precision medicine
D. Froelicher, J.R. Troncoso-Pastoriza, J.L. Raisaro, M.A. Cuendet, J. Sa Sousa, H. Cho, B. Berger, J. Fellay, J.-P. Hubaux
Nature Communications 2021
POSEIDON, Privacy-Preserving Federated Neural Network Learning
S. Sav, A. Pyrgelis, J.R. Troncoso-Pastoriza, D. Froelicher, J. Sa Sousa, J.-P. Bossuat, J.-P. Hubaux
NDSS 2021
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
M. Kim, A.O. Harmanci, J.-P. Bossuat, ..., Y. Song, J.R. Troncoso-Pastoriza, X. Jiang
Cell Systems 2021
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys
J.-P. Bossuat, C. Mouchet, J.R. Troncoso-Pastoriza, J.-P. Hubaux
EUROCRYPT 2021
Scalable Privacy-Preserving Distributed Learning
D. Froelicher, J.R. Troncoso-Pastoriza, A. Pyrgelis, S. Sav, J. Sa Sousa, J.-P. Bossuat, J.-P. Hubaux
PETS 2021
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis
J. Scheibner, J.L. Raisaro, J.R. Troncoso-Pastoriza, M. Ienca, J. Fellay, E. Vayena, J.-P. Hubaux
JMIR 2021
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors
C. Mouchet, J. Troncoso-Pastoriza, J.-P. Bossuat, J.-P. Hubaux
PETS 2021