Fast Fully Secure Multi-Party Computation over Any Ring with Two-Thirds Honest Majority
Author:
Affiliation:
1. Partisia, Aarhus, Denmark
2. J.P. Morgan AI Research, New York, NY, USA
3. Technion, Haifa, Israel
Funder
ERC Project NTSC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3548606.3559389
Reference46 articles.
1. Privacy-Preserving Methods for Sharing Financial Risk Exposures
2. Efficient Information-Theoretic Secure Multiparty Computation over $$\mathbb {Z}/p^k\mathbb {Z}$$ via Galois Rings
3. Mark Abspoel Anders P. K. Dalskov Daniel Escudero and Ariel Nof. 2021. An efficient passive-to-active compiler for honest-majority MPC over rings. In ACNS. Mark Abspoel Anders P. K. Dalskov Daniel Escudero and Ariel Nof. 2021. An efficient passive-to-active compiler for honest-majority MPC over rings. In ACNS.
4. Alessandro N. Baccarini Marina Blanton and Chen Yuan. 2020. Multi-Party Replicated Secret Sharing over a Ring with Applications to Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. (2020). Alessandro N. Baccarini Marina Blanton and Chen Yuan. 2020. Multi-Party Replicated Secret Sharing over a Ring with Applications to Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. (2020).
5. Assi Barak Martin Hirt Lior Koskas and Yehuda Lindell. 2018. An End-to-End System for Large Scale P2P MPC-as-a-Service and Low-Bandwidth MPC for Weak Participants. In ACM CCS. Assi Barak Martin Hirt Lior Koskas and Yehuda Lindell. 2018. An End-to-End System for Large Scale P2P MPC-as-a-Service and Low-Bandwidth MPC for Weak Participants. In ACM CCS.
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