Paper 2023/310

Ramen: Souper Fast Three-Party Computation for RAM Programs

Lennart Braun, Aarhus University
Mahak Pancholi, Aarhus University
Rahul Rachuri, Visa Research
Mark Simkin, Ethereum Foundation

Secure RAM computation allows a number of parties to evaluate a function represented as a random-access machine (RAM) program in a way that reveals nothing about the private inputs of the parties except from what is already revealed by the function output itself. In this work we present \emph{Ramen}, which is a new protocol for computing RAM programs securely among three parties, tolerating up to one passive corruption. Ramen provides reasonable asymptotic guarantees and is concretely efficient at the same time. We have implemented our protocol and provide extensive benchmarks for various settings. Asymptotically, our protocol requires a constant number of rounds and an amortized sublinear amount of communication and computation per memory access. In terms of concrete efficiency, our protocol outperforms previous solutions. For a memory of size $2^{26}$ our memory accesses are \(25\times\) faster in the LAN and \(8\times\) faster in the WAN setting, when compared to the previously fastest, and concurrent, solution by Vadapalli, Henry, and Goldberg (USENIX Security 2023). Due to our superior asymptotic guarantees, the efficiency gap is only widening as the memory gets larger and for this reason Ramen provides the currently most scalable concretely efficient solution for securely computing RAM programs.

Available format(s)
Cryptographic protocols
Publication info
Published elsewhere. Major revision. CCS 2023
multiparty computationthree-party computationramdistributed oram
Contact author(s)
braun @ cs au dk
mahakp @ cs au dk
srachuri @ visa com
mark simkin @ ethereum org
2023-09-07: revised
2023-03-02: received
See all versions
Short URL
Creative Commons Attribution


      author = {Lennart Braun and Mahak Pancholi and Rahul Rachuri and Mark Simkin},
      title = {Ramen: Souper Fast Three-Party Computation for RAM Programs},
      howpublished = {Cryptology ePrint Archive, Paper 2023/310},
      year = {2023},
      doi = {10.1145/3576915.3623115},
      note = {\url{}},
      url = {}
Note: In order to protect the privacy of readers, does not use cookies or embedded third party content.