Paper 2026/487

Linear-Time, Constant-Depth Blind Polynomial Commitments from Generalized RAA Codes, with an End-to-End Blind SNARK Implementation

Kexi Huang, National University of Singapore
Yanpei Guo, National University of Singapore
Wenjie Qu, National University of Singapore
Jiaheng Zhang, National University of Singapore
Abstract

In this work, we construct a new and highly efficient blind polynomial commitment scheme (PCS) over non-binary fields. Our scheme is specifically designed to handle encrypted coefficients without requiring expensive bootstrapping operations, achieving a breakthrough in the "complexity-depth" trade-off. The proposed scheme features an extremely efficient prover both asymptotically and concretely. The commitment and evaluation phases are dominated by a strictly linear $O(n)$ number of field operations. Furthermore, the construction maintains a constant multiplicative depth, which is a critical requirement for efficiency in homomorphic encryption settings. Concretely, for large-scale circuit sizes, our prover is significantly faster than prior state-of-the-art schemes such as phalanx and laminate. Our underlying technique is the Generalized RAA code, an extremely efficient error-correcting code that extends the binary RAA code structure to arbitrary non-binary prime fields $\mathbb{F}_{p}$. We analyze the bounds over non-binary fields, which demonstrate that this code maintains a linear minimum distance property with high probability. By combining Ligero’s IOPP framework, we obtain the first asymptotically and concretely good blind PCS that achieves strictly linear $O(n)$ encoding complexity for the prover while avoiding the expensive bootstrapping operations.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Contact author(s)
kexi huang @ u nus edu
guo yanpei @ u nus edu
wenjiequ @ u nus edu
jhzhang @ u nus edu
History
2026-05-22: last of 2 revisions
2026-03-09: received
See all versions
Short URL
https://ia.cr/2026/487
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/487,
      author = {Kexi Huang and Yanpei Guo and Wenjie Qu and Jiaheng Zhang},
      title = {Linear-Time, Constant-Depth Blind Polynomial Commitments from Generalized {RAA} Codes, with an End-to-End Blind {SNARK} Implementation},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/487},
      year = {2026},
      url = {https://eprint.iacr.org/2026/487}
}
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