| Privacy-Preserving Distributed Linear Regression on High-Dimensional Data A Gascón, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ... Proceedings on Privacy Enhancing Technologies 2017 (4), 345–364, 2017 | 249 | 2017 |
| Secure Linear Regression on Vertically Partitioned Datasets. A Gascón, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ... IACR Cryptology ePrint Archive 2016 (892), 2016 | 117 | 2016 |
| VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLE P Rindal, P Schoppmann Annual International Conference on the Theory and Applications of …, 2021 | 96 | 2021 |
| Communication–Computation Trade-offs in PIR A Ali, T Lepoint, S Patel, M Raykova, P Schoppmann, K Seth, K Yeo 30th USENIX Security Symposium (USENIX Security 21), 1811–1828, 2021 | 74 | 2021 |
| Distributed Vector-OLE: Improved Constructions and Implementation P Schoppmann, A Gascón, L Reichert, M Raykova Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 74 | 2019 |
| A general purpose transpiler for fully homomorphic encryption S Gorantala, R Springer, S Purser-Haskell, W Lam, R Wilson, A Ali, ... arXiv preprint arXiv:2106.07893, 2021 | 45 | 2021 |
| Asymmetric private set intersection with applications to contact tracing and private vertical federated machine learning N Angelou, A Benaissa, B Cebere, W Clark, AJ Hall, MA Hoeh, D Liu, ... arXiv preprint arXiv:2011.09350, 2020 | 25 | 2020 |
| Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning P Schoppmann, A Gascón, M Raykova, B Pinkas Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 25 | 2019 |
| Mainzelliste SecureEpiLinker (MainSEL): Privacy-Preserving Record Linkage using Secure Multi-Party Computation S Stammler, T Kussel, P Schoppmann, F Stampe, G Tremper, ... Bioinformatics 38 (6), 1657–1668, 2022 | 24 | 2022 |
| Distributed, private, sparse histograms in the two-server model J Bell, A Gascon, B Ghazi, R Kumar, P Manurangsi, M Raykova, ... Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 18 | 2022 |
| Private Nearest Neighbors Classification in Federated Databases P Schoppmann, A Gascón, B Balle IACR Cryptology ePrint Archive 2018 (289), 2018 | 14 | 2018 |
| Verifiable Distributed Aggregation Functions H Davis, C Patton, M Rosulek, P Schoppmann Proceedings on Privacy-Enhancing Technologies 2023 (4), 578–592, 2023 | 13 | 2023 |
| Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue P Schoppmann, L Vogelsang, A Gascón, B Balle Proceedings on Privacy Enhancing Technologies 2020 (2), 209–229, 2020 | 11 | 2020 |
| Verifiable distributed aggregation functions R Barnes, C Patton, P Schoppmann Internet Engineering Task Force, Fremont, CA, USA, Internet-Draft draft …, 2022 | 7 | 2022 |
| A Secure Multi-Party Computation Protocol for Time-To-Event Analyses L Vogelsang, M Lehne, P Schoppmann, F Prasser, S Thun, ... Medical Informatics Europe 2020: Digital Personalized Health and Medicine, 8–12, 2020 | 7 | 2020 |
| Communication-efficient secure logistic regression A Agarwal, S Peceny, M Raykova, P Schoppmann, K Seth Cryptology ePrint Archive, 2022 | 4 | 2022 |
| PPML'19: Privacy Preserving Machine Learning B Balle, A Gascón, O Ohrimenko, M Raykova, P Schoppmann, ... Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 2 | 2019 |
| Poster: Solving Private Systems of Linear Equations with Garbled Circuits P Schoppmann, A Gascón, B Balle IEEE Symposium on Security and Privacy, 2016 | 1 | 2016 |
| Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage L Reichert, GR Chandran, P Schoppmann, T Schneider, B Scheuermann Cryptology ePrint Archive, 2024 | | 2024 |
| Malicious Security for Sparse Private Histograms L Braun, A Gascón, M Raykova, P Schoppmann, K Seth Cryptology ePrint Archive, 2024 | | 2024 |
Mariana RaykovaGoogleVerified email at cs.columbia.edu
