Publications by Joao André Gomes de Sá e Sousa

Scalable and Privacy-Preserving Federated Principal Component Analysis

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis

Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in many data science domains. We address the problem of performing a federated PCA on private data distributed among multiple data providers while ensuring data confi ...

IEEE COMPUTER SOC2023

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

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza, Sinem Sav, Apostolos Pyrgelis

A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global neural network model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being commun ...

2022

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza, Sinem Sav, Apostolos Pyrgelis

In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an N-party, federated learning setting. We propose a novel system, POSEIDON, the first of its kind in the regime of privacy-preserving neural network ...

INTERNET SOC2021

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

Jean-Pierre Hubaux, David Jules Froelicher, Jacques Fellay, Jean Louis Raisaro, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza

Existing approaches to sharing of distributed medical data either provide only limited protection of patients' privacy or sacrifice the accuracy of results. Here, the authors propose a federated analytics system, based on multiparty homomorphic encryption ...

Nature Portfolio2021

Scalable Privacy-Preserving Distributed Learning

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza, Sinem Sav, Apostolos Pyrgelis

2021

System and method for privacy-preserving distributed training of machine learning models on distributed datasets

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza, Sinem Sav, Apostolos Pyrgelis

A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being communicatively coupl ...

2021

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

Jean-Pierre Hubaux, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza

Data sharing has become of primary importance in many domains such as big-data analytics, economics and medical research, but remains difficult to achieve when the data are sensitive. In fact, sharing personal information requires individuals' unconditiona ...

2020

SPHN/PHRT - MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery

Jean-Pierre Hubaux, Mickaël Misbach, Jacques Fellay, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza

MedCo is the first operational system that makes sensitive medical-data available for research in a simple, privacy-conscious and secure way. It enables a consortium of clinical sites to collectively protect their data and to securely share them with inves ...

IOS PRESS2020

Analysis of deposited layers with deuterium and impurity elements on samples from the divertor of JET with ITER-like wall

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Partha Dutta, Marco Wischmeier, Jan Horacek, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Magalie Diane Bassan, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, Fernando Cortes Salazar, Petre Alexandru Arion, Jose Felix Vega Stavro, Lenke Horváth, Hugo Augusto Penedones Fernandes, Stéphanie Prior, Philippe Janson, Daniel Scott Alessi, Matthew Brown, Philippe Jean Buchs, Lorenzo Anton-Louis Talà, Mario Joe Lehmann, Pamela Solange Valdés Undurraga, Michael Oliver Reinke, Jonnathan Cesar Hidalgo Acosta, Wei Tang, Albano António De Abreu E Presa De Castro E Sousa, Lyne Moser, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data

Jean-Pierre Hubaux, Olivier Michielin, Mickaël Misbach, Jean Louis Raisaro, Bryan Alexander Ford, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza

The increasing number of health-data breaches is creating a complicated environment for medical-data sharing and, consequently, for medical progress. Therefore, the development of new solutions that can reassure clinical sites by enabling privacy-preservin ...

2019

Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Partha Dutta, Marco Wischmeier, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Magalie Diane Bassan, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, Fernando Cortes Salazar, Petre Alexandru Arion, Jose Felix Vega Stavro, Lenke Horváth, Hugo Augusto Penedones Fernandes, Stéphanie Prior, Philippe Janson, Daniel Scott Alessi, Matthew Brown, Philippe Jean Buchs, Lorenzo Anton-Louis Talà, Mario Joe Lehmann, Pamela Solange Valdés Undurraga, Michael Oliver Reinke, Jonnathan Cesar Hidalgo Acosta, Wei Tang, Albano António De Abreu E Presa De Castro E Sousa, Lyne Moser, Dalziel Joseph Wilson, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Population modelling of the He II energy levels in tokamak plasmas: I. Collisional excitation model

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Partha Dutta, Marco Wischmeier, Jan Horacek, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Magalie Diane Bassan, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, Fernando Cortes Salazar, Petre Alexandru Arion, Jose Felix Vega Stavro, Lenke Horváth, Hugo Augusto Penedones Fernandes, Stéphanie Prior, Philippe Janson, Daniel Scott Alessi, Matthew Brown, Philippe Jean Buchs, Lorenzo Anton-Louis Talà, Mario Joe Lehmann, Pamela Solange Valdés Undurraga, Michael Oliver Reinke, Jonnathan Cesar Hidalgo Acosta, Wei Tang, Albano António De Abreu E Presa De Castro E Sousa, Lyne Moser, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Uncoordinated Frequency Hopping for Wireless Secrecy Against Non-Degraded Eavesdroppers

Joao André Gomes de Sá e Sousa

2018

Neutron spectroscopy measurements of 14 MeV neutrons at unprecedented energy resolution and implications for deuterium-tritium fusion plasma diagnostics

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Stefano Coda, Marco Wischmeier, Jan Horacek, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, Petre Alexandru Arion, Jose Felix Vega Stavro, Lenke Horváth, Hugo Augusto Penedones Fernandes, Stéphanie Prior, Philippe Janson, Daniel Scott Alessi, Matthew Brown, Philippe Jean Buchs, Lorenzo Anton-Louis Talà, Mario Joe Lehmann, Pamela Solange Valdés Undurraga, Jonnathan Cesar Hidalgo Acosta, Wei Tang, Albano António De Abreu E Presa De Castro E Sousa, Lyne Moser, Dalziel Joseph Wilson, Justin Robert Young, Jonathan Marc Philippe Faustin, Federico Nespoli, Alexis Gérald Page, , , , , , , , , , , , , , , , , , , , , , ,

The Gaia-ESO Survey: properties of newly discovered Li-rich giants

Fadi Atef Bayoud, Joao André Gomes de Sá e Sousa, Carmela Lardo

Aims. We report 20 new lithium-rich giants discovered within the Gaia-ESO Survey, including the first Li-rich giant with an evolutionary stage confirmed by CoRoT (Convection, Rotation and planetary Transits) data. We present a detailed overview of the prop ...

EDP SCIENCES S A2018

14 MeV calibration of JET neutron detectors-phase 1: calibration and characterization of the neutron source

Patrick Blanchard, Basil Duval, Ambrogio Fasoli, Yves Martin, Richard Pitts, Olivier Sauter, Henri Weisen, Robin Humphry-Baker, Stefano Coda, Partha Dutta, Marco Wischmeier, Jan Horacek, Vlad Trifa, Yann Camenen, Jonathan Graves, Duccio Testa, Magalie Diane Bassan, Sun Hee Kim, Mikhail Maslov, Javier García Hernández, David Pfefferlé, Fernando Cortes Salazar, Petre Alexandru Arion, Jose Felix Vega Stavro, Lenke Horváth, Hugo Augusto Penedones Fernandes, Stéphanie Prior, Philippe Janson, Daniel Scott Alessi, Matthew Brown, Philippe Jean Buchs, Lorenzo Anton-Louis Talà, Mario Joe Lehmann, Pamela Solange Valdés Undurraga, Michael Oliver Reinke, Jonnathan Cesar Hidalgo Acosta, Wei Tang, Albano António De Abreu E Presa De Castro E Sousa, Lyne Moser, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

UnLynx: A Decentralized System for Privacy-Conscious Data Sharing

Jean-Pierre Hubaux, Patricia Egger, David Jules Froelicher, Christian Vincent Mouchet, Zhicong Huang, Jean Louis Raisaro, Bryan Alexander Ford, Joao André Gomes de Sá e Sousa

Current solutions for privacy-preserving data sharing among multiple parties either depend on a centralized authority that must be trusted and provides only weakest-link security (e.g., the entity that manages private/secret cryptographic keys), or leverag ...

De Gruyter2017

MedCo: Enabling Privacy-Conscious Exploration of Distributed Clinical and Genomic Data

Jean-Pierre Hubaux, Olivier Michielin, Mickaël Misbach, Jean Louis Raisaro, Bryan Alexander Ford, Joao André Gomes de Sá e Sousa, Juan Ramón Troncoso-Pastoriza

Being able to share large amounts of sensitive clinical and genomic data across several institutions is crucial for precision medicine to scale up. Unfor- tunately, existing solutions only partially address this challenge and are still unable to provide th ...

2017