惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
雷峰网
雷峰网
Google DeepMind News
Google DeepMind News
Y
Y Combinator Blog
Microsoft Security Blog
Microsoft Security Blog
M
MIT News - Artificial intelligence
WordPress大学
WordPress大学
MongoDB | Blog
MongoDB | Blog
V
V2EX
博客园 - 【当耐特】
GbyAI
GbyAI
Stack Overflow Blog
Stack Overflow Blog
I
InfoQ
Martin Fowler
Martin Fowler
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Hugging Face - Blog
Hugging Face - Blog
B
Blog
V
Visual Studio Blog
D
DataBreaches.Net
C
Check Point Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
F
Fortinet All Blogs

cs.DS updates on arXiv.org

PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A computational phase transition for learning-to-sample from Ising models Covering vertices by sequential stars Fermi-Dirac machines as quantizations of neurons A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation A Tight Bound on Localization of Electrical Flows Optimal Dimension-Free Sampling for Regularized Classification Reducing the Randomness in Partition Oracles for Bounded Degree Minor-Free Graphs Beyond the Half-Approximation: Fair and Efficient Online Class Matching Efficient Uniform Sampling of Surjections via their Profiles Tractable Maximization of Budgeted Phylogenetic Diversity on Networks Utilizing Node Scanwidth Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking Learning-Augmented Online Scheduling with Parsimonious Preemption Entropy Equivalence Testing Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees The Secretary Problem with a Stochastic Precursor Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification Block-Sphere Vector Quantization An Approximation Algorithm for Graph Label Selection Iterative Chow Filtering for Learning with Distribution Shift Complexity of Non-Log-Concave Sampling in Fisher Information Stochastic Matching via Local Sparsification Finite Sample Bounds for Learning with Score Matching What is Learnable in Valiant's Theory of the Learnable? Provable Quantization with Randomized Hadamard Transform Min-Max Optimization Requires Exponentially Many Queries Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm A proximal gradient algorithm for composite log-concave sampling
On (Non-)Isomorphism of Self-Dual Lattices and Codes
[Submitted on 17 Jun 2026] · 2026-06-18 · via cs.DS updates on arXiv.org

View PDF HTML (experimental)

Abstract:A recent line of work motivated by cryptographic applications has studied the complexity of the Lattice Isomorphism Problem (LIP). In this work, we study LIP on self-dual lattices $\cal{L} \subset \mathbb{R}^n$, which appear naturally in many applications. Our main results are a $2^{n/2 + o(n)}$-time randomized algorithm for LIP and a $\mathsf{coNP}$ protocol for LIP on a broad class of self-dual lattices. These results extend recent work on ZLIP, the problem of deciding whether a lattice is isomorphic to $\mathbb{Z}^n$. In particular, the former result extends the $2^{n/2 + o(n)}$-time algorithms for ZLIP of Bennett, Ganju, Peetathawachai, and Stephens-Davidowitz (Eurocrypt, 2023) and of Ducas (Des. Codes Cryptogr., 2024). The latter result extends the $\mathrm{ZLIP} \in \mathsf{coNP}$ result of Hunkenschröder (Math. Prog. Series A, 2024).
Our results leverage two key structural properties of self-dual lattices $\cal{L} \subset \mathbb{R}^n$: (1) every such lattice $\cal{L}$ is isomorphic to $\cal{L}_0 \oplus \mathbb{Z}^r$ for some self-dual lattice $\cal{L}_0$ with $\lambda_1(\cal{L}_0)^2 \geq 2$, and (2) every such lattice $\cal{L}$ has \emph{characteristic vectors}, i.e., there exist vectors $\mathbf{w} \in \cal{L}$ such that for every $\mathbf{v} \in \cal{L}$, $\langle\mathbf{v}, \mathbf{w}\rangle \equiv \langle\mathbf{v}, \mathbf{v}\rangle \pmod{2}$. Our results use a line of work by Elkies and Gaulter on lattices with long shortest characteristic vectors, and can be strengthened assuming a positive answer to a related question of Elkies (Math. Res. Lett., 1995).
We also study Permutation Code Equivalence (PCE) on self-dual codes, and we observe that similar structural properties imply a polynomial-time algorithm for PCE on certain such codes. This gives a natural class of codes with large hull for which PCE is easy.

Submission history

From: Huck Bennett [view email]
[v1] Wed, 17 Jun 2026 04:02:05 UTC (29 KB)