CryptoDB
Delong Ran
Publications and invited talks
Year
Venue
Title
2025
ASIACRYPT
GPV Preimage Sampling with Weak Smoothness and Its Applications to Lattice Signatures
Abstract
The lattice trapdoor associated with Ajtai's function is the cornerstone of many lattice-based cryptosystems.
The current provably secure trapdoor framework, known as the GPV framework, uses a \emph{strong smoothness} condition, i.e. $\epsilon\ll \frac{1}{n^2}$ for smoothing parameter $\eta_{\epsilon}(\Z^{n})$, to ensure the correctness of the security reduction.
In this work, we investigate the feasibility of \emph{weak smoothness}, e.g., $\epsilon = O(\frac{1}{n})$ or even $O(1)$ in the GPV framework and present several positive results.
First, we provide a theoretical security proof for GPV with weak smoothness under a new assumption.
%Interestingly, the additional assumption has \emph{no impact on the concrete security} of practical GPV signatures.
Then, we present Gaussian samplers that are compatible with the weak smoothness condition.
As direct applications, we present two practical GPV signature instantiations based on a weak smoothness condition.
Our first instantiation is a variant of Falcon achieving \emph{smaller size} and \emph{higher security}.
The public key sizes are $21\%$ to $28\%$ smaller, and the signature sizes are $23.5\%$ to $29\%$ smaller than Falcon.
We also showcase an NTRU-based GPV signature scheme that employs the Peikert sampler with weak smoothness.
This offers a simple implementation while the security level is greatly lower.
Nevertheless, at the NIST-3 security level, our scheme achieves a $49\%$ reduction in size compared to Dilithium-3.
Coauthors
- Huiwen Jia (1)
- Delong Ran (1)
- Xiaoyun Wang (1)
- Yang Yu (1)
- Yu Yu (1)
- Shiduo Zhang (1)