David Froelicher

17 papers A* 3A 1B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Design Patterns for Securing LLM Agents against Prompt Injections.
CoRR
Luca Beurer-Kellner, Beat Buesser, Ana-Maria Cretu, Edoardo Debenedetti, Daniel Dobos, Daniel Fabian, Marc Fischer, David Froelicher, Kathrin Grosse, Daniel Naeff, Ezinwanne Ozoani, Andrew Paverd, Florian Tramèr, Václav Volhejn
2025 A* conf
Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption.
USENIX Security Symposium
Haris Smajlovic, David Froelicher, Ariya Shajii, Bonnie Berger, Hyunghoon Cho, Ibrahim Numanagic
2024 B conf
Secure Discovery of Genetic Relatives Across Large-Scale and Distributed Genomic Datasets.
RECOMB
Matthew M. Hong, David Froelicher, Ricky Magner, Victoria Popic, Bonnie Berger, Hyunghoon Cho
2023 A* conf
Scalable and Privacy-Preserving Federated Principal Component Analysis.
SP
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
2023 J jnl
Scalable and Privacy-Preserving Federated Principal Component Analysis.
CoRR
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux
2023 J jnl
sfkit: a web-based toolkit for secure and federated genomic analysis.
Nucleic Acids Res.
Simon Mendelsohn, David Froelicher, Denis Loginov, David Bernick, Bonnie Berger, Hyunghoon Cho
2021 A* conf
POSEIDON: Privacy-Preserving Federated Neural Network Learning.
NDSS
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2021 — —
Privacy-Preserving Federated Analytics using Multiparty Homomorphic Encryption.
David Froelicher
2021 J jnl
Scalable Privacy-Preserving Distributed Learning.
Proc. Priv. Enhancing Technol.
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2020 J jnl
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets.
IEEE Trans. Inf. Forensics Secur.
David Froelicher, Juan Ramón Troncoso-Pastoriza, Joao Sa Sousa, Jean-Pierre Hubaux
2020 — conf
MedCo2: Privacy-Preserving Cohort Exploration and Analysis.
MIE
David Froelicher, Mickaël Misbach, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Jean-Pierre Hubaux
2020 J jnl
POSEIDON: Privacy-Preserving Federated Neural Network Learning.
CoRR
Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2020 J jnl
Scalable Privacy-Preserving Distributed Learning.
CoRR
David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2019 J jnl
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets.
CoRR
David Froelicher, Juan Ramón Troncoso-Pastoriza, João Sá Sousa, Jean-Pierre Hubaux
2017 A conf
Sharing Proofs of Retrievability across Tenants.
AsiaCCS
Frederik Armknecht, Jens-Matthias Bohli, David Froelicher, Ghassan Karame
2017 J jnl
UnLynx: A Decentralized System for Privacy-Conscious Data Sharing.
Proc. Priv. Enhancing Technol.
David Froelicher, Patricia Egger, João Sá Sousa, Jean Louis Raisaro, Zhicong Huang, Christian Mouchet, Bryan Ford, Jean-Pierre Hubaux
2016 J jnl
SPORT: Sharing Proofs of Retrievability across Tenants.
IACR Cryptol. ePrint Arch.
Frederik Armknecht, Jens-Matthias Bohli, David Froelicher, Ghassan O. Karame