Tight Lattice-Based Signatures Without Trapdoors from Search LWE
Rutchathon Chairattana-Apirom, Nico Döttling, Julian Loss, Stefano Tessaro, Benedikt Wagner
Abstract
The study of digital signatures with tight reductions has attracted considerable attention over the past two decades, as such schemes inherit essentially the same quantitative hardness as the underlying computational problem. In the context of lattice-based cryptography, the GPV approach (Gentry, Peikert, and Vaikuntanathan, STOC ’08) admits a simple tight reduction from the SIS problem, but relies on preimage sampling via trapdoors, which often leads to complex and brittle implementations. By contrast, tight proofs for trapdoor-free constructions, following the Fiat–Shamir paradigm, necessarily rely on decisional assumptions, most notably the decisional LWE assumption. From the perspective of concrete security, however, reliance on a search assumption is preferable, as known search-to-decision reductions for LWE provide only weak quantitative guarantees. This paper presents the first efficient lattice-based signature scheme with a tight reduction to a search assumption (namely, the hardness of the search LWE problem) that does not require any trapdoor in the scheme itself (but merely uses, instead, a trapdoor in the proof). Our construction follows the Fiat-Shamir paradigm and can be viewed as a lattice analogue of Chevallier–Mames signatures (CRYPTO ’05). Establishing security in the lattice setting, however, requires overcoming significant technical obstacles: in particular, our proof develops several new techniques to cope with the inherently weak soundness guarantees of lattice-based interactive proofs.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- Practical, Round-Optimal Lattice-Based Blind SignaturesShweta Agrawal, Elena Kirshanova, Damien Stehlé, Anshu YadavCCS 2022 · 52 citations
- A New Approach for Non-Interactive Zero-Knowledge from Learning with ErrorsBrent WatersSTOC 2024 · 13 citations
- Compact Lattice Gadget and Its Applications to Hash-and-Sign SignaturesYang Yu, Huiwen Jia, Xiaoyun WangCRYPTO 2023 · 35 citations
- Compact Lattice Signatures via Iterative Rejection SamplingJoel GärtnerCRYPTO 2025 · 2 citations
- Shorter, Tighter, FAESTer: Optimizations and Improved (QROM) Analysis for VOLE-in-the-Head SignaturesCarsten Baum, Ward Beullens, Lennart Braun, Cyprien Delpech de Saint Guilhem et al.CRYPTO 2025 · 2 citations
