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- W3034595514 abstract "In this work, we exhibit a hierarchy of polynomial time algorithms solving approximate variants of the Closest Vector Problem (CVP). Our first contribution is a heuristic algorithm achieving the same distance tradeoff as HSVP algorithms, namely $approx beta^{frac{n}{2beta}}textrm{covol}(Lambda)^{frac{1}{n}}$ for a random lattice $Lambda$ of rank $n$. Compared to the so-called Kannan's embedding technique, our algorithm allows using precomputations and can be used for efficient batch CVP instances. This implies that some attacks on lattice-based signatures lead to very cheap forgeries, after a precomputation. Our second contribution is a proven reduction from approximating the closest vector with a factor $approx n^{frac32}beta^{frac{3n}{2beta}}$ to the Shortest Vector Problem (SVP) in dimension $beta$." @default.
- W3034595514 created "2020-06-19" @default.
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- W3034595514 date "2020-06-10" @default.
- W3034595514 modified "2023-09-27" @default.
- W3034595514 title "The nearest-colattice algorithm" @default.
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