Identifying an unknown code by partial Gaussian elimination

Author:

Carrier Kevin,Tillich Jean-Pierre

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Reference63 articles.

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3. Andoni A., Indyk P., Nguyen H.L., Razenshteyn I.: Beyond locality-sensitive hashing. In: Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms (Philadelphia, PA, USA), SODA ’14, Society for Industrial and Applied Mathematics, pp. 1018–1028 (2014).

4. Andoni A., Razenshteyn I.P.: Optimal data-dependent hashing for approximate near neighbors. In Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, STOC 2015, Portland, OR, USA, June 14-17, 2015, ACM, pp. 793–801 (2015).

5. Barbero Á.I., Ytrehus Ø.: Modifications of the rao-nam cryptosystem. In: Buchmann J., Høholdt T., Stichtenoth H., Tapia-Recillas H., (eds.) Coding Theory, Cryptography and Related Areas: Proceedings of an International Conference on Coding Theory, Cryptography and Related Areas, held in Guanajuato, Mexico, in April 1998. Springer, Berlin, pp. 1–12 (2000).

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