Mastodawn

Privacy Guides Sep 15, 2025

What is Multi-Party Computation?

We know how to secure data in storage using E2EE, but is it possible to ensure data privacy even while processing it server-side? This is the first in a series of articles Privacy Guides team member @fria be publishing, covering the privacy-enhancing technologies being rolled out in various products.

https://www.privacyguides.org/articles/2025/09/15/multi-party-computation/

#MultiPartyComputation #Encryption #Security #Privacy #MPC #MentalPoker #SecretSharing #Article #PrivacyGuides

What is Multi-Party Computation?

Learn about Secure Multi-Party Computation and how it can be used to solve real-world privacy problems.

Privacy Guides

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stf Dec 14, 2024

with the help of @vegetables i finally got it working. i had two off-by-ones, and i was messing up the generation of the commitments. \o/ robust updatable threshold oprfs here i come! expect some code hitting the liboprf repo soon.

#ngi0 #crypto #oprf #multipartyComputation #liboprf

Jenetics GA Nov 18, 2024

Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management.
#Jenetics #GeneticAlgorithm #FlightPrioritization #MultiPartyComputation #EvolutionaryAlgorithm #HeuristicOptimization
https://ieeexplore.ieee.org/document/10749250

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Annual Computer Security Applications Conference Jun 20, 2024

Opening the session was Zheng et al.'s "Secure Softmax/Sigmoid for Machine-learning Computation," exploring numerical approximations to improve efficiency and accuracy in secure computation. (https://www.acsac.org/2023/program/final/s29.html) 2/4
#MachineLearning #SecureComputation #MultipartyComputation

ACSAC2023 Program – powered by OpenConf

OPSEC Cybersecurity News Live Dec 16, 2022

Signature size discrepancy for MPC in the Head signature

https://crypto.stackexchange.com/questions/103305/signature-size-discrepancy-for-mpc-in-the-head-signature

#multipartycomputation #signature

Signature size discrepancy for MPC in the Head signature

I have been puzzled by the following for a long time. In the (very well know in the field) paper: Improved Non-Interactive Zero Knowledge with Applications to Post-Quantum Signatures , the authors

Cryptography Stack Exchange

Mast0b1t Dec 12, 2022

#Nillion raises over $20 million to build new #web3 #infrastructure.
Jacquelyn Melinek

@jacqmelinek / 8:00 AM EST•December 12, 2022

#decentralization #privacy #encryption #NilMessageCompute #SecureMultiPartyComputation #SecureComputation #MultiPartyComputation #confidentiality #blockchain #cryptocurrency

https://techcrunch.com/2022/12/12/nillion-raises-over-20-million-to-build-new-web3-infrastructure/

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OPSEC Cybersecurity News Live Dec 8, 2022

Why not substitute division of a public value by multiplication to its reciprocal?

https://crypto.stackexchange.com/questions/103162/why-not-substitute-division-of-a-public-value-by-multiplication-to-its-reciproca

#multipartycomputation

Why not substitute division of a public value by multiplication to its reciprocal?

MPC protocols have a harder time handling division (truncation) than multiplication. The case I am considering is when the divisor is a public value. Dividing it may lead to a wrong result due to

Cryptography Stack Exchange

Hackernoon Sep 27, 2022

Referenced link: https://hackernoon.com/secure-multi-party-computation-use-cases
Discuss on https://discu.eu/q/https://hackernoon.com/secure-multi-party-computation-use-cases

Originally posted by HackerNoon | Learn Any Technology / @[email protected]: https://twitter.com/hackernoon/status/1574853894517231617#m

"Secure Multi-Party Computation Use Cases" by @ShaanRay https://hackernoon.com/secure-multi-party-computation-use-cases #multipartycomputation #securemultipartycomputation

Secure Multi-Party Computation Use Cases | HackerNoon

Secure Multi-Party Computation (SMPC), as described by Wikipedia, is a subset of cryptography to create methods for multiple users to jointly compute a function over their inputs while keeping those inputs private. A significant benefit of Secure Multi-Party Computation is that it preserves data privacy while making it usable and open for analysis.