Quorus: Efficient, Scalable Threshold ML-DSA Signatures from MPC

Read full text
Authors: Bienstock, Alex, de Castro, Leo, Escudero, Daniel, Polychroniadou, Antigoni, Takahashi, Akira
Cited by: 0

Abstract

This is the artifact for "Quorus: Efficient, Scalable Threshold ML-DSA Signatures from MPC" which is a USENIX 2026 accepted paper (cycle 1, paper #1515).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026