USENIX Security2026Top-tier venue
Efficient Threshold ML-DSA
Sofía Celi, Rafael del Pino, Thomas Espitau, Guilhem Niot, Thomas Prest
Abstract
Threshold signature schemes allow a group of users to jointly generate a digital signature, providing resilience against faults and enhancing decentralization. With the advent of post-quantum cryptography, lattice-based threshold signatures have gained attention as viable PQ-threshold solutions. Nevertheless, existing constructions are limited in terms of their scalability, robustness. Worse, none is compatible with standardized schemes, particularly with the NIST-selected and standardized Module-Lattice-based Digital Signature Algorithm (ML-DSA) algorithm. In this work, we present the first threshold signature scheme that is fully compatible with ML-DSA, supporting secure and efficient signing for a small number of parties, with an average communication per party upper bounded by 1 MB up to 6 parties. Our construction leverages advanced short secret sharing techniques and integrates optimized rejection sampling to achieve a favorable balance between communication efficiency and correctness in distributed environments. We implement our construction in Go and evaluate its performance across local, LAN, and WAN network settings. Our benchmarks demonstrate that our threshold ML-DSA scheme is not only practically deployable but also well-suited for real-world applications, including multi-device cryptocurrency wallets, threshold-based TLS authentication, and for Tor's directory authorities. Threshold signatures In all this work, we denote the security parameter by κ. Following the syntax of Katsumata et al. [46], a R-round threshold signature (without session identifiers) is as a tuple TSS = (Setup, Keygen, (Sign i ) i∈[R] , Combine, Verify). act ⊆ [N] denotes a set of T parties used for signing. Each signer i maintains a state st i : short-lived session-specific information. Setup(κ, N, T ) → pp. Takes as input a security parameter κ, the total number of parties N, the reconstruction threshold T ⩽ N. Outputs a set of public parameters pp. Keygen(pp) → (vk, (sk i ) i∈ [N] ). Takes as input the public parameters. Outputs a verification key vk, and partial private keys Sign r (vk, act, msg, (pm j r-1 ) j∈act , i, sk i , st i ) → (pm i r , st i ). For the r-th round (r ∈ 1, • • • , R), takes as input the verification key vk, the set of signers act, a message msg, the protocol messages exchanged during the previous round (pm j r-1 ) j∈act , as well as the partial private key sk i and state st i of user i. Outputs a new message pm i r and updated state st i . We define pm i 0 = ⊥. Note that msg and act may optionally be provided only from a round later than the first. Combine(vk, act, msg, (pm i r ) r∈[R],i∈act ) → sig. Takes as input the verification key vk, the set of signers act, the message msg, all messages exchanged during the protocol (pm i r ) r∈[R],i∈act . Outputs a signature sig. Verify(vk, msg, sig) → 0 or 1. Takes as input a verification key vk, a message msg, and a signature sig. Outputs 1 if sig is valid and 0 otherwise.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itBuilds on15
- Design and evaluation of IPFS: a storage layer for the decentralized webDennis Trautwein, Aravindh Raman, Gareth Tyson, Ignacio Castro et al.SIGCOMM 2022 · 188 citations
- Fully Adaptive Schnorr Threshold SignaturesElizabeth C. Crites, Chelsea Komlo, Mary MallerCRYPTO 2023 · 79 citations
- Better than Advertised Security for Non-interactive Threshold SignaturesMihir Bellare, Elizabeth C. Crites, Chelsea Komlo, Mary Maller et al.CRYPTO 2022 · 71 citations
- Threshold Raccoon: Practical Threshold Signatures from Standard Lattice AssumptionsRafaël Del Pino, Shuichi Katsumata, Mary Maller, Fabrice Mouhartem et al.EUROCRYPT 2024 · 61 citations
- Toward Practical Lattice-Based Proof of Knowledge from Hint-MLWEDuhyeong Kim, Dongwon Lee, Jinyeong Seo, Yongsoo SongCRYPTO 2023 · 47 citations
Related papers
- Quorus: Efficient, Scalable Threshold ML-DSA Signatures from MPCAlexander Bienstock, Leo de Castro, Daniel Escudero, Antigoni Polychroniadou et al.USENIX Security 2026 · 1 citation
- Ringtail: Practical Two-Round Threshold Signatures from Learning with ErrorsCecilia Boschini, Darya Kaviani, Russell W. F. Lai, Giulio Malavolta et al.S&P 2025
- Fast Multiparty Threshold ECDSA with Fast Trustless SetupRosario Gennaro, Steven GoldfederCCS 2018 · 264 citations
- Olingo: Threshold Lattice Signatures with DKG and Identifiable AbortKamil Doruk Gur, Patrick Hough, Jonathan Katz, Caroline Sandsbråten et al.CCS 2026
- Two-Round Threshold Signature from Algebraic One-More Learning with ErrorsThomas Espitau, Shuichi Katsumata, Kaoru TakemureCRYPTO 2024 · 25 citations
