The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
New bounds in some transference theorems in the geometry of numbers
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Citations
Cites
Linton, F. E. J., Hewitt, E., & Ross, K. A. (1966) · The American Mathematical Monthly · doi:10.2307/2315383 · Cited by 3,657
Milnor, J., & Husemoller, D. H. (1973) · Springer eBooks · doi:10.1007/978-3-642-88330-9 · Cited by 938
On Lovász’ lattice reduction and the nearest lattice point problem
Babai, L. (1986) · Combinatorica · doi:10.1007/bf02579403 · Cited by 938
Korkin-Zolotarev bases and successive minima of a lattice and its reciprocal lattice
Lagarias, J. C., Lenstra, H. W., & Schnorr, C. P. (1990) · Combinatorica · doi:10.1007/bf02128669 · Cited by 251
Cited by
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
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
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
Worst‐Case to Average‐Case Reductions Based on Gaussian Measures
Micciancio, D., & Regev, O. (2007) · SIAM Journal on Computing · doi:10.1137/s0097539705447360 · Cited by 907
On Ideal Lattices and Learning with Errors over Rings
Lyubashevsky, V., Peikert, C., & Regev, O. (2013) · Journal of the ACM · doi:10.1145/2535925 · Cited by 836
Metadata
- Authors
- Banaszczyk, W.
- Venue
- Mathematische Annalen
- Published
- 1993-12
- Volume
- 296
- Issue
- 1
- Pages
- 625-635
- ISSN
- 0025-5831 (ISSN-L)
- 1432-1807
- OpenAlex
- W2001093624
- Cited by
- 461
- References
- 4
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
