Phillipp Schoppmann

According to our database, Phillipp Schoppmann authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large-Scale Private Set Intersection in the Client-Server Setting.

Yunqing Sun, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Xiao Wang

IACR Cryptol. ePrint Arch., 2024

Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage.

Leonie Reichert, Gowri R. Chandran, Phillipp Schoppmann, Thomas Schneider, Björn Scheuermann

IACR Cryptol. ePrint Arch., 2024

Malicious Security for Sparse Private Histograms.

Lennart Braun, Adrià Gascón, Mariana Raykova, Phillipp Schoppmann, Karn Seth

IACR Cryptol. ePrint Arch., 2024

2023

Verifiable Distributed Aggregation Functions.

Hannah Davis, Christopher Patton, Mike Rosulek, Phillipp Schoppmann

Proc. Priv. Enhancing Technol., October, 2023

2022

Communication Efficient Secure Logistic Regression.

Amit Agarwal, Stanislav Peceny, Mariana Raykova, Phillipp Schoppmann, Karn Seth

IACR Cryptol. ePrint Arch., 2022

Distributed, Private, Sparse Histograms in the Two-Server Model.

James Bell, Adrià Gascón, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Mariana Raykova, Phillipp Schoppmann

IACR Cryptol. ePrint Arch., 2022

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

Sebastian Stammler, Tobias Kussel, Phillipp Schoppmann, Florian Stampe, Galina Tremper, Stefan Katzenbeisser, Kay Hamacher, Martin Lablans

Bioinform., 2022

2021

Secure Computation Protocols for Privacy-Preserving Machine Learning.

Phillipp Schoppmann

PhD thesis, 2021

VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE.

Peter Rindal, Phillipp Schoppmann

IACR Cryptol. ePrint Arch., 2021

A General Purpose Transpiler for Fully Homomorphic Encryption.

Shruthi Gorantala, Rob Springer, Sean Purser-Haskell, William Lam, Royce J. Wilson, Asra Ali, Eric P. Astor, Itai Zukerman, Sam Ruth, Christoph Dibak, Phillipp Schoppmann, Sasha Kulankhina, Alain Forget, David Marn, Cameron Tew, Rafael Misoczki, Bernat Guillen, Xinyu Ye, Dennis Kraft, Damien Desfontaines, Aishe Krishnamurthy, Miguel Guevara, Irippuge Milinda Perera, Yurii Sushko, Bryant Gipson

IACR Cryptol. ePrint Arch., 2021

2020

Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue.

Phillipp Schoppmann, Lennart Vogelsang, Adrià Gascón, Borja Balle

Proc. Priv. Enhancing Technol., 2020

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

Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe

CoRR, 2020

A Secure Multi-Party Computation Protocol for Time-To-Event Analyses.

Lennart Vogelsang, Moritz Lehne, Phillipp Schoppmann, Fabian Prasser, Sylvia Thun, Björn Scheuermann, Josef Schepers

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.

Phillipp Schoppmann, Adrià Gascón, Leonie Reichert, Mariana Raykova

IACR Cryptol. ePrint Arch., 2019

Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning.

Phillipp Schoppmann, Adrià Gascón, Mariana Raykova, Benny Pinkas

IACR Cryptol. ePrint Arch., 2019

Communication-Computation Trade-offs in PIR.

Asra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova, Phillipp Schoppmann, Karn Seth, Kevin Yeo

IACR Cryptol. ePrint Arch., 2019

PPML '19: Privacy Preserving Machine Learning.

Borja Balle, Adrià Gascón, Olya Ohrimenko, Mariana Raykova, Phillipp Schoppmann, Carmela Troncoso

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Private Nearest Neighbors Classification in Federated Databases.

Phillipp Schoppmann, Adrià Gascón, Borja Balle

IACR Cryptol. ePrint Arch., 2018

2017

Privacy-Preserving Distributed Linear Regression on High-Dimensional Data.

Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans

Proc. Priv. Enhancing Technol., 2017

2016

Secure Linear Regression on Vertically Partitioned Datasets.

Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans

IACR Cryptol. ePrint Arch., 2016