Continuous LWE
Author:
Affiliation:
1. New York University, USA
2. University of Michigan, USA
Funder
Simons Foundation
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3406325.3451000
Reference38 articles.
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2. Miklós Ajtai and Cynthia Dwork. 1997. A public-key cryptosystem with worst-case/average-case equivalence. In STOC. Pages 284–293. isbn:0897918886 https://doi.org/10.1145/258533.258604 10.1145/258533.258604 Miklós Ajtai and Cynthia Dwork. 1997. A public-key cryptosystem with worst-case/average-case equivalence. In STOC. Pages 284–293. isbn:0897918886 https://doi.org/10.1145/258533.258604 10.1145/258533.258604
3. Sanjeev Arora and Rong Ge. 2011. New algorithms for learning in presence of errors. In ICALP. Pages 403–415. Sanjeev Arora and Rong Ge. 2011. New algorithms for learning in presence of errors. In ICALP. Pages 403–415.
4. Learning mixtures of separated nonspherical Gaussians
5. On Lovász’ lattice reduction and the nearest lattice point problem
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