A characterization of uncoordinated frequency hopping for wireless secrecy. - Joao Sa Sousa; João P. Vilela (WMNC, 2014)

Physical-Layer Security against Non-Degraded Eavesdroppers. - João P. Vilela; Joao Sa Sousa (GLOBECOM, 2015)

Uncoordinated Frequency Hopping for secrecy with broadband jammers and eavesdroppers. - Joao Sa Sousa; João P. Vilela (ICC, 2015)

Scalability architecture for a secure big data system. - Joao Sa Sousa; Tiago Mateus; Pedro Furtado 001 (Int. J. Bus. Process. Integr. Manag., 2015)

Efficient and Secure Outsourcing of Genomic Data Storage. - João Sá Sousa; Cédric Lefebvre; Zhicong Huang; Jean Louis Raisaro; Carlos Aguilar Melchor; Marc-Olivier Killijian; Jean-Pierre Hubaux (IACR Cryptol. ePrint Arch., 2017)

UnLynx: A Decentralized System for Privacy-Conscious Data Sharing. - David Froelicher; Patricia Egger; João Sá Sousa; Jean Louis Raisaro; Zhicong Huang; Christian Mouchet; Bryan Ford; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2017)

Uncoordinated Frequency Hopping for Wireless Secrecy Against Non-Degraded Eavesdroppers. - João Sá Sousa; João P. Vilela (IEEE Trans. Inf. Forensics Secur., 2018)

MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data. - Jean Louis Raisaro; Juan Ramón Troncoso-Pastoriza; Mickaël Misbach; João Sá Sousa; Sylvain Pradervand; Edoardo Missiaglia; Olivier Michielin; Bryan Ford; Jean-Pierre Hubaux (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

SPHN/PHRT - MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery. - Jean Louis Raisaro; Juan Ramón Troncoso-Pastoriza; Sylvain Pradervand; Michel A. Cuendet; Mickaël Misbach; João Sá Sousa; Francesco Marino; Nicolas Freundler; Nicolas Rosat; David Cavin; Alexander B. Leichtle; Jacques Fellay; et al. (MIE, 2020)

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets. - David Froelicher; Juan Ramón Troncoso-Pastoriza; Joao Sa Sousa; Jean-Pierre Hubaux (IEEE Trans. Inf. Forensics Secur., 2020)

POSEIDON: Privacy-Preserving Federated Neural Network Learning. - Sinem Sav; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; David Froelicher; Jean-Philippe Bossuat; Joao Sa Sousa; Jean-Pierre Hubaux (NDSS, 2021)

Citizen-centered, auditable and privacy-preserving population genomics. - Dennis Grishin; Jean Louis Raisaro; Juan Ramón Troncoso-Pastoriza; Kamal Obbad; Kevin Quinn 007; Mickaël Misbach; Jared Gollhardt; João Sá Sousa; Jacques Fellay; George M. Church; Jean-Pierre Hubaux (Nat. Comput. Sci., 2021)

Scalable Privacy-Preserving Distributed Learning. - David Froelicher; Juan Ramón Troncoso-Pastoriza; Apostolos Pyrgelis; Sinem Sav; Joao Sa Sousa; Jean-Philippe Bossuat; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2021)

Scalable and Privacy-Preserving Federated Principal Component Analysis. - David Froelicher; Hyunghoon Cho; Manaswitha Edupalli; Joao Sa Sousa; Jean-Philippe Bossuat; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Bonnie Berger; Jean-Pierre Hubaux (SP, 2023)