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Phillipp Schoppmann
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2020 – today
- 2024
- [c9]Leonie Reichert, Gowri R. Chandran, Phillipp Schoppmann, Thomas Schneider, Björn Scheuermann:
Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage. AsiaCCS 2024 - [c8]Amit Agarwal, Stanislav Peceny, Mariana Raykova, Phillipp Schoppmann, Karn Seth:
Communication-Efficient Secure Logistic Regression. EuroS&P 2024: 440-467 - [i16]Lennart Braun, Adrià Gascón, Mariana Raykova, Phillipp Schoppmann, Karn Seth:
Malicious Security for Sparse Private Histograms. IACR Cryptol. ePrint Arch. 2024: 469 (2024) - [i15]Leonie Reichert, Gowri R. Chandran, Phillipp Schoppmann, Thomas Schneider, Björn Scheuermann:
Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage. IACR Cryptol. ePrint Arch. 2024: 556 (2024) - [i14]Yunqing Sun, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Xiao Wang:
Large-Scale Private Set Intersection in the Client-Server Setting. IACR Cryptol. ePrint Arch. 2024: 570 (2024) - [i13]James Bell-Clark, Adrià Gascón, Baiyu Li, Mariana Raykova, Phillipp Schoppmann:
Willow: Secure Aggregation with One-Shot Clients. IACR Cryptol. ePrint Arch. 2024: 936 (2024) - 2023
- [j4]Hannah Davis, Christopher Patton, Mike Rosulek, Phillipp Schoppmann:
Verifiable Distributed Aggregation Functions. Proc. Priv. Enhancing Technol. 2023(4): 578-592 (2023) - [i12]Hannah Davis, Christopher Patton, Mike Rosulek, Phillipp Schoppmann:
Verifiable Distributed Aggregation Functions. IACR Cryptol. ePrint Arch. 2023: 130 (2023) - 2022
- [j3]Sebastian Stammler, Tobias Kussel, Phillipp Schoppmann, Florian Stampe, Galina Tremper, Stefan Katzenbeisser, Kay Hamacher, Martin Lablans:
Mainzelliste SecureEpiLinker (MainSEL): privacy-preserving record linkage using secure multi-party computation. Bioinform. 38(6): 1657-1668 (2022) - [c7]James Bell, Adrià Gascón, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Mariana Raykova, Phillipp Schoppmann:
Distributed, Private, Sparse Histograms in the Two-Server Model. CCS 2022: 307-321 - [i11]Amit Agarwal, Stanislav Peceny, Mariana Raykova, Phillipp Schoppmann, Karn Seth:
Communication Efficient Secure Logistic Regression. IACR Cryptol. ePrint Arch. 2022: 866 (2022) - [i10]James Bell, Adrià Gascón, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Mariana Raykova, Phillipp Schoppmann:
Distributed, Private, Sparse Histograms in the Two-Server Model. IACR Cryptol. ePrint Arch. 2022: 920 (2022) - 2021
- [b1]Phillipp Schoppmann:
Secure Computation Protocols for Privacy-Preserving Machine Learning. Humboldt University of Berlin, Germany, 2021 - [c6]Peter Rindal, Phillipp Schoppmann:
VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE. EUROCRYPT (2) 2021: 901-930 - [c5]Asra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova, Phillipp Schoppmann, Karn Seth, Kevin Yeo:
Communication-Computation Trade-offs in PIR. USENIX Security Symposium 2021: 1811-1828 - [i9]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:
A General Purpose Transpiler for Fully Homomorphic Encryption. CoRR abs/2106.07893 (2021) - [i8]Peter Rindal, Phillipp Schoppmann:
VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE. IACR Cryptol. ePrint Arch. 2021: 266 (2021) - [i7]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:
A General Purpose Transpiler for Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2021: 811 (2021) - 2020
- [j2]Phillipp Schoppmann, Lennart Vogelsang, Adrià Gascón, Borja Balle:
Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue. Proc. Priv. Enhancing Technol. 2020(2): 209-229 (2020) - [c4]Lennart Vogelsang, Moritz Lehne, Phillipp Schoppmann, Fabian Prasser, Sylvia Thun, Björn Scheuermann, Josef Schepers:
A Secure Multi-Party Computation Protocol for Time-To-Event Analyses. MIE 2020: 8-12 - [i6]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:
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. CoRR abs/2011.09350 (2020)
2010 – 2019
- 2019
- [c3]Phillipp Schoppmann, Adrià Gascón, Leonie Reichert, Mariana Raykova:
Distributed Vector-OLE: Improved Constructions and Implementation. CCS 2019: 1055-1072 - [c2]Phillipp Schoppmann, Adrià Gascón, Mariana Raykova, Benny Pinkas:
Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning. CCS 2019: 1335-1350 - [c1]Borja Balle, Adrià Gascón, Olya Ohrimenko, Mariana Raykova, Phillipp Schoppmann, Carmela Troncoso:
PPML '19: Privacy Preserving Machine Learning. CCS 2019: 2717-2718 - [i5]Phillipp Schoppmann, Adrià Gascón, Mariana Raykova, Benny Pinkas:
Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning. IACR Cryptol. ePrint Arch. 2019: 281 (2019) - [i4]Phillipp Schoppmann, Adrià Gascón, Leonie Reichert, Mariana Raykova:
Distributed Vector-OLE: Improved Constructions and Implementation. IACR Cryptol. ePrint Arch. 2019: 1084 (2019) - [i3]Asra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova, Phillipp Schoppmann, Karn Seth, Kevin Yeo:
Communication-Computation Trade-offs in PIR. IACR Cryptol. ePrint Arch. 2019: 1483 (2019) - 2018
- [i2]Phillipp Schoppmann, Adrià Gascón, Borja Balle:
Private Nearest Neighbors Classification in Federated Databases. IACR Cryptol. ePrint Arch. 2018: 289 (2018) - 2017
- [j1]Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans:
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. Proc. Priv. Enhancing Technol. 2017(4): 345-364 (2017) - 2016
- [i1]Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans:
Secure Linear Regression on Vertically Partitioned Datasets. IACR Cryptol. ePrint Arch. 2016: 892 (2016)
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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