The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On Ideal Lattices and Learning with Errors over Rings
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Citations
Cites
On lattices, learning with errors, random linear codes, and cryptography
Regev, O. (2009) · Journal of the ACM · doi:10.1145/1568318.1568324 · Cited by 2,315
Self-citationNTRU: A ring-based public key cryptosystem
Hoffstein, J., Pipher, J., & Silverman, J. H. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0054868 · Cited by 1,947
Cited by
Homomorphic Encryption for Arithmetic of Approximate Numbers
Cheon, J. H., Kim, A., Kim, M., & Song, Y. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-70694-8_15 · Cited by 2,522
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
CRYSTALS - Kyber: A CCA-Secure Module-Lattice-Based KEM
Bos, J., Ducas, L., Kiltz, E., Lepoint, T., Lyubashevsky, V., Schanck, J. M., Schwabe, P., Seiler, G., & Stehle, D. (2018) · 2018 IEEE European Symposium on Security and Privacy (EuroS&P) · doi:10.1109/eurosp.2018.00032 · Cited by 1,192
Self-citationEfficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence
Hao, M., Li, H., Luo, X., Xu, G., Yang, H., & Liu, S. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2945367 · Cited by 569
Making NTRU as Secure as Worst-Case Problems over Ideal Lattices
Stehlé, D., & Steinfeld, R. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-20465-4_4 · Cited by 444
Metadata
- Authors
- Lyubashevsky, V., Peikert, C., & Regev, O.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 1-23
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2098290658
- Cited by
- 1,831
- References
- 2
- FWCI
- 35.86
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: On Ideal Lattices and Learning with Errors over Rings. https://app.cochat.ai/papers/10.1007/978-3-642-13190-5_1
- The paper
- Lyubashevsky, V., Peikert, C., & Regev, O. (2010). On Ideal Lattices and Learning with Errors over Rings. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-13190-5_1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
