The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation
Abstract
Author(s): Daniel Demmler, Thomas Schneider, Michael Zohner Download: Paper (PDF) Date: 7 Feb 2015 Document Type: Briefing Papers Additional Documents: Slides Associated Event: NDSS Symposium 2015 Abstract: Secure computation enables multiple mutually distrusting parties to jointly evaluate functions on their private inputs without revealing anything but the result. Generic secure computation protocols in the semi-honest … Continued
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Citations
Cites
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
Paillier, P. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48910-x_16 · Cited by 7,250
Multiparty Computation from Somewhat Homomorphic Encryption
Damgård, I., Pastro, V., Smart, N., & Zakarias, S. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-32009-5_38 · Cited by 1,331
Cited by
SecureML: A System for Scalable Privacy-Preserving Machine Learning
Mohassel, P., & Zhang, Y. (2017) · 2017 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2017.12 · Cited by 1,936
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3216981 · Cited by 548
ABY 3: A Mixed Protocol Framework for Machine Learning
Mohassel, P., & Rindal, P. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3243734.3243760 · Cited by 432
Albrecht, M. R., Rechberger, C., Schneider, T., Tiessen, T., & Zohner, M. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-46800-5_17 · Cited by 290
Self-citationCrypTen: Secure Multi-Party Computation Meets Machine Learning
Knott, B., Venkataraman, S., Hannun, A., Sengupta, S., Ibrahim, M., & van der Maaten, L. (2021) · arXiv · doi:10.48550/arxiv.2109.00984 · Cited by 257
Metadata
- Authors
- Demmler, D., Schneider, T., & Zohner, M.
- Venue
- Proceedings 2015 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Published
- 2015
- OpenAlex
- W1969009977
- Cited by
- 827
- References
- 2
- FWCI
- 20.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Demmler, D., Schneider, T., & Zohner, M. (2015). ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation. Proceedings 2015 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2015.23113
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
