Continuous LWE
Continuous LWE
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连续LWE
DOI:
10.1145/3406325.3451000
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Tang, Yi
中科院分区:
文献类型:
--
作者:
Bruna, Joan;Regev, Oded;Song, Min Jae;Tang, Yi
We introduce a continuous analogue of the Learning with Errors (LWE) problem, which we name CLWE. We give a polynomial-time quantum reduction from worst-case lattice problems to CLWE, showing that CLWE enjoys similar hardness guarantees to those of LWE. Alternatively, our result can also be seen as opening new avenues of (quantum) attacks on lattice problems. Our work resolves an open problem regarding the computational complexity of learning mixtures of Gaussians without separability assumptions (Diakonikolas 2016, Moitra 2018). As an additional motivation, (a slight variant of) CLWE was considered in the context of robust machine learning (Diakonikolas et al.~FOCS 2017), where hardness in the statistical query (SQ) model was shown; our work addresses the open question regarding its computational hardness (Bubeck et al.~ICML 2019).
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DOI:
--
发表时间:
2019
期刊:
Advances in neural information processing systems
影响因子:
--
作者:
Karmalkar, Sushrut;Klivans, Adam;Kothari, Pravesh
通讯作者:
Kothari, Pravesh
DOI:
10.1145/3188745.3188758
发表时间:
2017-11
期刊:
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
--
作者:
Ilias Diakonikolas;D. Kane;Alistair Stewart
通讯作者:
Ilias Diakonikolas;D. Kane;Alistair Stewart
影响因子:
1
作者:
R. Rubinfeld;R. Servedio
通讯作者:
R. Servedio
DOI:
--
发表时间:
2018-05
期刊:
ArXiv
影响因子:
--
作者:
Sébastien Bubeck;Eric Price;Ilya P. Razenshteyn
通讯作者:
Sébastien Bubeck;Eric Price;Ilya P. Razenshteyn
DOI:
10.1109/focs.2008.48
发表时间:
2008-04
期刊:
2008 49th Annual IEEE Symposium on Foundations of Computer Science
影响因子:
--
作者:
Charles Brubaker;S. Vempala
通讯作者:
Charles Brubaker;S. Vempala