The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds
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Citations
Cites
Fully homomorphic encryption using ideal lattices
Gentry, C. (2009) · Proceedings of the forty-first annual ACM symposium on Theory of computing · doi:10.1145/1536414.1536440 · Cited by 6,806
The Design and Implementation of FFTW3
Frigo, M., & Johnson, S. G. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840301 · Cited by 5,086
On lattices, learning with errors, random linear codes, and cryptography
Regev, O. (2005) · Proceedings of the thirty-seventh annual ACM symposium on Theory of computing · doi:10.1145/1060590.1060603 · Cited by 2,313
On Ideal Lattices and Learning with Errors over Rings
Lyubashevsky, V., Peikert, C., & Regev, O. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-13190-5_1 · Cited by 1,831
(Leveled) fully homomorphic encryption without bootstrapping
Brakerski, Z., Gentry, C., & Vaikuntanathan, V. (2012) · Proceedings of the 3rd Innovations in Theoretical Computer Science Conference · doi:10.1145/2090236.2090262 · Cited by 1,782
Gentry, C., Sahai, A., & Waters, B. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-40041-4_5 · Cited by 1,492
Efficient Fully Homomorphic Encryption from (Standard) LWE
Brakerski, Z., & Vaikuntanathan, V. (2011) · 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2011.12 · Cited by 1,449
On the concrete hardness of Learning with Errors
Albrecht, M. R., Player, R., & Scott, S. (2015) · Journal of Mathematical Cryptology · doi:10.1515/jmc-2015-0016 · Cited by 861
FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
Ducas, L., & Micciancio, D. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-46800-5_24 · Cited by 745
Better Key Sizes (and Attacks) for LWE-Based Encryption
Lindner, R., & Peikert, C. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-19074-2_21 · Cited by 688
Cited by
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
Phong, L. T., Aono, Y., Hayashi, T., Wang, L., & Moriai, S. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2787987 · Cited by 1,662
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
Acar, A., Aksu, H., Uluagac, A. S., & Conti, M. (2019) · ACM Computing Surveys · doi:10.1145/3214303 · Cited by 1,397
TFHE: Fast Fully Homomorphic Encryption Over the Torus
Chillotti, I., Gama, N., Georgieva, M., & Izabachène, M. (2020) · Journal of Cryptology · doi:10.1007/s00145-019-09319-x · Cited by 990
Self-citationBootstrapping for Approximate Homomorphic Encryption
Cheon, J. H., Han, K., Kim, A., Kim, M., & Song, Y. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-78381-9_14 · Cited by 373
Survey on Fully Homomorphic Encryption, Theory, and Applications
Marcolla, C., Sucasas, V., Manzano, M., Bassoli, R., Fitzek, F. H. P., & Aaraj, N. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3205665 · Cited by 323
Metadata
- Authors
- Chillotti, I., Gama, N., Georgieva, M., & Izabachène, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2016
- Volume
- 2016
- Pages
- 3-33
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2554750353
- Cited by
- 684
- References
- 19
- FWCI
- 25.05
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds. https://app.cochat.ai/papers/10.1007/978-3-662-53887-6_1
- The paper
- Chillotti, I., Gama, N., Georgieva, M., & Izabachène, M. (2016). Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-662-53887-6_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.
