David Froelicher

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Vertically Partitioned Data

Distributed Data

Privacy Preservation

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Matthew M. Hong, David Froelicher, Ricky Magner, Victoria Popic, Bonnie Berger, Hyunghoon Cho
Secure Discovery of Genetic Relatives Across Large-Scale and Distributed Genomic Datasets. RECOMB (2024)
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
Scalable and Privacy-Preserving Federated Principal Component Analysis. SP (2023)
Simon Mendelsohn, David Froelicher, Denis Loginov, David Bernick, Bonnie Berger, Hyunghoon Cho
sfkit: a web-based toolkit for secure and federated genomic analysis. Nucleic Acids Res. 51 (W1) (2023)
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
Scalable and Privacy-Preserving Federated Principal Component Analysis. CoRR (2023)
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
POSEIDON: Privacy-Preserving Federated Neural Network Learning. NDSS (2021)
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Scalable Privacy-Preserving Distributed Learning. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
David Froelicher, Juan Ramón Troncoso-Pastoriza, Joao Sa Sousa, Jean-Pierre Hubaux
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets. IEEE Trans. Inf. Forensics Secur. 15 (2020)
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
Scalable Privacy-Preserving Distributed Learning. CoRR (2020)
David Froelicher, Mickaël Misbach, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Jean-Pierre Hubaux
MedCo2: Privacy-Preserving Cohort Exploration and Analysis. MIE (2020)
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
POSEIDON: Privacy-Preserving Federated Neural Network Learning. CoRR (2020)
David Froelicher, Juan Ramón Troncoso-Pastoriza, João Sá Sousa, Jean-Pierre Hubaux
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets. CoRR (2019)
Frederik Armknecht, Jens-Matthias Bohli, David Froelicher, Ghassan Karame
Sharing Proofs of Retrievability across Tenants. AsiaCCS (2017)
David Froelicher, Patricia Egger, João Sá Sousa, Jean Louis Raisaro, Zhicong Huang, Christian Mouchet, Bryan Ford, Jean-Pierre Hubaux
UnLynx: A Decentralized System for Privacy-Conscious Data Sharing. Proc. Priv. Enhancing Technol. 2017 (4) (2017)
Frederik Armknecht, Jens-Matthias Bohli, David Froelicher, Ghassan O. Karame
SPORT: Sharing Proofs of Retrievability across Tenants. IACR Cryptol. ePrint Arch. 2016 (2016)