Juan Ramón Troncoso-Pastoriza

System and method for privacy-preserving distributed training of neural network models on distributed datasets

2023/10/12

Privacy Preserving Machine Learning

2023/5/2

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference

2023/6/19

Scalable and privacy-preserving federated principal component analysis

IEEE Symposium on Security and Privacy

2023

Multiparty homomorphic encryption: From theory to practice

2023

Secure and federated genome-wide association studies for Biobank-scale datasets

bioRxiv

2022/12/2

Bootstrapping for approximate homomorphic encryption with negligible failure-probability by using sparse-secret encapsulation

2022/6/18

Privacy-preserving federated neural network learning for disease-associated cell classification

Patterns

2022/5/13

Privacy-preserving and efficient verification of the outcome in genome-wide association studies

Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium

2022

Efficient protocols for oblivious linear function evaluation from ring-LWE

Journal of Computer Security

2022/1/1

Multiparty homomorphic encryption from ring-learning-with-errors

Proceedings on Privacy Enhancing Technologies

2021

Sok: Privacy-preserving collaborative tree-based model learning

arXiv preprint arXiv:2103.08987

2021/3/16

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Cell systems

2021/11/17

Citizen-centered, auditable and privacy-preserving population genomics

Nature Computational Science

2021/3

Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

Nature communications

2021/10/11

Revolutionizing medical data sharing using advanced privacy-enhancing technologies: technical, legal, and ethical synthesis

Journal of medical Internet research

2021/2/25

Crypt4GH: a file format standard enabling native access to encrypted data

Bioinformatics

2021/9/1

Privacy-Preserving Data Sharing and Computation Across Multiple Data Providers with Homomorphic Encryption

Protecting Privacy through Homomorphic Encryption

2021

Efficient bootstrapping for approximate homomorphic encryption with non-sparse keys

2021/6/16

Privacy and integrity preserving computations with {CRISP}

2021