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

博客园 - 聂微东
爱范儿
爱范儿
博客园 - 三生石上(FineUI控件)
Recent Announcements
Recent Announcements
大猫的无限游戏
大猫的无限游戏
MongoDB | Blog
MongoDB | Blog
A
About on SuperTechFans
M
MIT News - Artificial intelligence
V
Visual Studio Blog
云风的 BLOG
云风的 BLOG
The GitHub Blog
The GitHub Blog
Jina AI
Jina AI
P
Proofpoint News Feed
博客园_首页
酷 壳 – CoolShell
酷 壳 – CoolShell
T
The Blog of Author Tim Ferriss
G
Google Developers Blog
宝玉的分享
宝玉的分享
Engineering at Meta
Engineering at Meta
Last Week in AI
Last Week in AI
aimingoo的专栏
aimingoo的专栏
罗磊的独立博客
N
Netflix TechBlog - Medium
人人都是产品经理
人人都是产品经理

Cryptology ePrint Archive

Formalizing and Strengthening the Security Proof of NTOR Verifiable Anomaly and Similarity Detection Using Matrix Profile in Private Time-series Adaptively-Secure Flexible and Identity-Based Broadcast Encryption from Decomposed LWE MERIDIAN: A Toroid-Inspired Permutation Block Cipher for Constrained Environments PPML Is More Vulnerable to Cryptanalytic Extraction Attacks Toward Practical Fair Data Exchange: Eliminating In-Circuit Public-Key Operations Fault Injection Attacks Against zkSTARKs Scale, Round, Break: Simple Leakage Attacks on Secret Sharing Schemes Private Delegation of (Non-)Membership Proof Updates in Cryptographic Accumulators Beyond Binary: crosscorrelation of Cubic, Quartic and Quintic Character Sequences ZEE200: Zero Knowledge for Everything and Everyone @ 200 KHz A Post-Quantum Accountable Sanitizable Signature Scheme Based on Unbalanced Oil and Vinegar Better Usability: Leakage-Resistant AEADs from Single-length Blockciphers TieredOMap: Skewness-Aware Oblivious Map From Rerandtopia to Interceptopia, the Anamorphic Encryption Saga Rises Non-Adaptive Programmable PRFs and Applications to Stacked Garbling Practical Post-Quantum Secure Publicly Verifiable Secret Sharing and Applications Mosaic: Practical Malicious Security for Garbled Circuits on Bitcoin Efficient Bootstrapping of Matrices in FHE Decomposing Multiplication: A Vertical Packing Approach for Faster TFHE Formal Verification, Integration and Physical Evaluation of Prime-Field Masking on Silicon New Techniques for Communication-Efficient Secure Comparison Protocols Pairing-Based Verifiable Shuffles with Logarithmic-Size Proofs Verifying Provenance of Digital Media: Security Analysis of C2PA and its Implementation EQuADiSE: Efficient Quantum-safe Adaptive Distributed Symmetric-key Encryption Oriole: Adaptively Secure Partially Non-Interactive Threshold Signatures from Lattices Secure and Updatable Single Password Authentication Batch-Puncturing Circuit CP-ABE (and More) from Lattices Panther: Robust Hybrid KEM Combiners via Structural Splicing Cobra: All-in-one for full-fledged defense — a hybrid nested KEM
From Perfect to Approximate Hints: Efficient LWE Secret R...
Minki Hhan, Korea Advanced Institute of Science and Technology · 2026-05-28 · via Cryptology ePrint Archive

Paper 2026/1081

From Perfect to Approximate Hints: Efficient LWE Secret Recovery Leveraging Low Hamming Weight

Ga Hee Hong, Korea University

Jiseung Kim, Jeonbuk National University

Changmin Lee, Korea University

JeongHwan Lee, Korea University

Abstract

The Learning With Errors (LWE) problem is a cornerstone of lattice-based cryptography and underpins the security of numerous cryptographic schemes. To enhance efficiency, practitioners often employ sparse secrets in LWE, where the secret vector $\mathbf{s}$ has a significantly lower Hamming weight than its dimension $n$. While this approach improves performance, it raises security concerns, particularly against side-channel attacks that can leak partial information, or “hints,” about the secret key. In this paper, we revisit the LWE with side information framework on sparse ternary secrets, focusing on approximate/perfect hints of the form $(\mathbf{v}, l)$ satisfying $l = \langle \mathbf{v}, \mathbf{s} \rangle + e$, where $e$ is a small error term, or $l = \langle \mathbf{v}, \mathbf{s} \rangle$. While previous results needed about $n/2$ perfect or modular hints to break LWE in polynomial time, we show empirically, supported by a conservative lower-bound analysis under the Gaussian Approximation Assumption (GAA), that the task can be accomplished with only $O(h \log_2 h)$ hints, where $h$ denotes the Hamming weight of $\mathbf{s}$. We demonstrate the effectiveness of our algorithm on practical parameter sets used in Fully Homomorphic Encryption (FHE) schemes. For instance, for a sparse-secret FHE bootstrapping regime with $(n, h) = (2^{15}, 32)$, our method requires only 320 approximate/perfect hints to recover the secret key, compared to the $2^{14}$ perfect/modular hints required by previous methods. For the OpenFHE library with $(n, h) = (2^{15}, 192)$, we heuristically confirm secret-key recovery via $O(h \log_2 h)$ perfect hints; approximate hints have not yet been validated in this setting. After collecting the necessary hints, our algorithm recovers the secret key in polynomial time in dimension $n$.

BibTeX

@misc{cryptoeprint:2026/1081,
      author = {Minki Hhan and Ga Hee Hong and Jiseung Kim and Changmin Lee and JeongHwan Lee},
      title = {From Perfect to Approximate Hints: Efficient {LWE} Secret Recovery Leveraging Low Hamming Weight},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/1081},
      year = {2026},
      doi = {10.1109/SP63933.2026.00239},
      url = {https://eprint.iacr.org/2026/1081}
}