Simple Schnorr multi-signatures with applications to Bitcoin
By Gregory Maxwell, Andrew Poelstra, Yannick Seurin, Pieter Wuille. 2019
300 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Gregory Neven
- Manu Drijvers
- Dan Boneh
- Chris J. M. Yoon
- Clement Fung
- Ivan Beschastnikh
- Muhammad Shayan
- Brent Waters
In Computational Theory and Mathematics
- Gregory Neven
- Dan Boneh
- Manu Drijvers
- Chris J. M. Yoon
- Clement Fung
- Muhammad Shayan
- Ivan Beschastnikh
- Brent Waters
In Information Systems
- Gregory Neven
- Manu Drijvers
- Chris J. M. Yoon
- Dan Boneh
- Clement Fung
- Muhammad Shayan
- Ivan Beschastnikh
- Brent Waters
Citations in the corpus
- Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning (2018, methodology): “For signing updates, we use the Schnorr signature [46] scheme instead of ECDSA because multiple verifier Schnorr signatures can be aggregated together into one signature [31].”
- Compact Multi-Signatures for Smaller Blockchains (2018, methodology): “[36] revised their work to use the same protocol we present here.”
- Biscotti: A Blockchain System for Private and Secure Federated Learning (2021, methodology): “For signing updates, we use the Schnorr signature [65] scheme instead of ECDSA because multiple verifier Schnorr signatures can be aggregated together into one signature [66].”