Phillipp Schoppmann

Orcid: 0000-0001-7951-3930

According to our database1, Phillipp Schoppmann authored at least 21 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Large-Scale Private Set Intersection in the Client-Server Setting.
IACR Cryptol. ePrint Arch., 2024

Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage.
IACR Cryptol. ePrint Arch., 2024

Malicious Security for Sparse Private Histograms.
IACR Cryptol. ePrint Arch., 2024

Willow: Secure Aggregation with One-Shot Clients.
IACR Cryptol. ePrint Arch., 2024

2023
Verifiable Distributed Aggregation Functions.
Proc. Priv. Enhancing Technol., October, 2023

2022
Communication Efficient Secure Logistic Regression.
IACR Cryptol. ePrint Arch., 2022

Distributed, Private, Sparse Histograms in the Two-Server Model.
IACR Cryptol. ePrint Arch., 2022

Mainzelliste SecureEpiLinker (MainSEL): privacy-preserving record linkage using secure multi-party computation.
Bioinform., 2022

2021
Secure Computation Protocols for Privacy-Preserving Machine Learning.
PhD thesis, 2021

VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE.
IACR Cryptol. ePrint Arch., 2021

A General Purpose Transpiler for Fully Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2021

2020
Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue.
Proc. Priv. Enhancing Technol., 2020

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning.
CoRR, 2020

A Secure Multi-Party Computation Protocol for Time-To-Event Analyses.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019
Distributed Vector-OLE: Improved Constructions and Implementation.
IACR Cryptol. ePrint Arch., 2019

Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning.
IACR Cryptol. ePrint Arch., 2019

Communication-Computation Trade-offs in PIR.
IACR Cryptol. ePrint Arch., 2019

PPML '19: Privacy Preserving Machine Learning.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Private Nearest Neighbors Classification in Federated Databases.
IACR Cryptol. ePrint Arch., 2018

2017
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data.
Proc. Priv. Enhancing Technol., 2017

2016
Secure Linear Regression on Vertically Partitioned Datasets.
IACR Cryptol. ePrint Arch., 2016


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