## CryptoDB

### Paper: ATLAS: Efficient and Scalable MPC in the Honest Majority Setting

Authors: Vipul Goyal , CMU and NTT Research Hanjun Li , University of Washington Rafail Ostrovsky , UCLA Antigoni Polychroniadou , J.P. Morgan AI Research Yifan Song , Carnegie Mellon University Search ePrint Search Google CRYPTO 2021 In this work, we address communication, computation, and round efficiency of unconditionally secure multi-party computation for arithmetic circuits in the honest majority setting. We achieve both algorithmic and practical improvements: - The best known result in the semi-honest setting has been due to Damgard and Nielsen (CRYPTO 2007). Over the last decade, their construction has played an important role in the progress of efficient secure computation. However despite a number of follow-up works, any significant improvements to the basic semi-honest protocol have been hard to come by. We show 33% improvement in communication complexity of this protocol. We show how to generalize this result to the malicious setting, leading to the best known unconditional honest majority MPC with malicious security. - We focus on the round complexity of the Damgard and Nielsen protocol and improve it by a factor of 2. Our improvement relies on a novel observation relating to an interplay between Damgard and Nielsen multiplication and Beaver triple multiplication. An implementation of our constructions shows an execution run time improvement compared to the state of the art ranging from 30% to 50%.
##### BibTeX
@inproceedings{crypto-2021-31116,
title={ATLAS: Efficient and Scalable MPC in the Honest Majority Setting},
publisher={Springer-Verlag},
author={Vipul Goyal and Hanjun Li and Rafail Ostrovsky and Antigoni Polychroniadou and Yifan Song},
year=2021
}