Questions tagged [lenstra-lenstra-lovasz]
The Lenstra–Lenstra–Lovász (LLL) lattice basis reduction algorithm efficiently finds a short, nearly orthogonal lattice basis form an arbitrary one
18 questions
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Algorithm to solve SVP (shortest vector problem) using LLL reduction
I'm trying to write a C++ program to solve the shortest vector problem. The program is given a basis of a vector space $V$ and needs to find the shortest non-zero vector in the lattice generated by ...
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Does randomization make a big difference in the output of the BKZ algorithm?
We all know that block Korkine-Zolotarev (BKZ) algorithm is essentially a deterministic lattice reduction algorithm. However, in the actual implementation, the BKZ algorithm contains some ...
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LLL on Knapsack-eque problem
Given integers $s_1, \dots , s_n$ and target integer $t$, I'm trying to find small integer coefficients $x_1, \dots , x_n$ such that:
$$
t \approx x_1 s_1 + \dots +x_ns_n
$$
Taking inspiration from ...
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How does the lengths of the Gram-Schmidt orthogonal basis of a lattice basis change after lll reduction?
Assuming there is a lattice basis $B=\{b_1,...,b_n\}$, we use $B^*=\{b_1^*,...,b_n^*\}$ to denote the Gram-Schmidt orthogonal basis, where $b_i^*=\pi_i(b_i)$ and $\pi_i(b_i)$ denotes the projection of ...
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How "unorthogonal" can a LLL-reduced basis be?
I have been recently studying LLL-reduction. I get from the size condition and Lovasz condition that the basis are guaranteed to be somewhat orthogonal. But I couldn't figure out how orthogonal the ...
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Example of bad basis for lattices (worst-case for LLL)
Summary. Given some dimension $n$ (say $n=50$), is it possible to describe explicitly a lattice $L$ and a basis $B$ of $L$ such that
$$ \frac{ \| LLL(B)_1 \| }{ \lambda_1(L) } > 1.02^n $$
where $...
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NTL: Solve the closest vector problem for non-square matrix using LLL/Nearest Plane Algorithm
Assume I have a matrix $A \in \mathbb{Z}^{m \times n}$, $m > n$, which forms a basis of a lattice. Given a vector target vector $t = Ax + e$, $t,e \in \mathbb{Z}^m$,$x \in \mathbb{Z}^n$, I want to ...
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Howgrave-Graham lattice attack on NTRU
I am lookin for a good example to illustrate this attack on NTRU using low parameters but I failed to do that, The attack consist to use LLL reduction on A basis of NTRU Lattice, let us use the column ...
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Gram-Schmidt upper triangular basis
I'm trying to understand the Gram-Schmidt Orthogonalization process. Below, there is an explanation that a lattice basis can be described by an upper triangular vector.
It is often convenient to ...
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Gram-Schmidt coefficients in LLL algorithm
To my understanding the LLL lattice reduction algorithm starts with a set of integer vectors $\{b_1, \dots, b_2\}$, which span a lattice, and tries to generate a new basis of shorter vectors of the ...
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Introduction to LLL algorithm applied to linear modular inequalities
What is the Lenstra–Lenstra–Lovász lattice basis reduction algorithm about?
How is it applied to solve for $x\pmod m$ a system of modular inequalities $(u_i\,x+v_i\bmod m)<w$ for $0\le i<n$?
I'm ...
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Lattice reduction question regarding the capability of LLL and BKZ
I've been reading How to estimate the hardness of SIS instances? and following some of its sources, and I want to confirm a few things.
LLL algorithm runs in polynomial time, but isn't capable of ...
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LLL - Lattice Reduced Basis Algorithm question?
I have two related questions:
Version 1: Let $B=\{b_1,b_2,\dots,b_n\}$ be an orthogonal basis for $R^n$. What is the associated reduced basis obtained by applying LLL algorithm to $B$?
I know how ...
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What is the minimal angle between two LLL reduced vectors?
What is the minimal angle between two LLL reduced vectors?
It seems it should be 60 degree as $|\mu_{i,j}| \leq \frac{1}{2}$.
If we make the upper bound of $\mu_{i,j}$ by 1/3, can we get better ...
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$L^3$ Grover search of NTRU variants
I was reading a text on cryptology by Wayne Patterson and came across the $L^3$ algorithm which reduces integer lattices with respect to their base. I've also read on the NIST CFP A8 that attacks ...
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Significance of Gram-Schmidt coefficients in LLL algorithm
Let $\{ {\bf v}_1,{\bf v}_2 \}$ be two linearly independent vectors. An orthogonal base $\{{\bf u}_1,{\bf u}_2 \}$ of the vector space $\mathrm{span}\{ {\bf v}_1,{\bf v}_2 \}$ can be computed using ...
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Why is the Lovász condition used in the LLL algorithm?
The LLL algorithm is used to approximate the Shortest Vector Problem, i.e., it outputs a reduced basis. Such a basis will satisfy two conditions:
$$ \forall i \gt j. \quad \lvert\mu_{ij}\rvert \le \...
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Problem with LLL reduction on truncated LCG schemes
I am struggling to apply Freize et al. paper to break a truncated LCG.
A truncated LCG is a pseudo random generator that outputs the $n$ leading bits $y_i$ of $x_i$, where $(x_i)$ is such that $x_{...
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