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  4. Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures

Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures

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Author(s)
Gupte, Aparna
•
Vafa, Neekon
•
Vaikuntanathan, Vinod
Date Issued
October 2022
Journal
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
Publisher
IEEE
Citation
Gupte, Aparna, Vafa, Neekon and Vaikuntanathan, Vinod. 2022. "Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures." 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS).
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Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/148100
DOI of Published Version
https://doi.org/10.1109/focs54457.2022.00112
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