Sharemind by Cybernetica

Build data-driven services with end-to-end encryption for privacy. Products based on cryptographic secure multi-party computation and Intel(R) SGX.

[Sharemind by Cybernetica @sharemind]

Read on for an architectural blueprint of @sharemind MPC for cross-organisation data analysis. First results from Cybernetica's Eurostat MPC project.

[Dan Bogdanov / @[email protected] @danbogdanov]

It's time to start sharing results from the work that Cybernetica has done on MPC for Eurostat. First - we thank Eurostat for all the effort they have put into understanding MPC and putting together requirements.
You find the concept on the website: https://t.co/eoCrFHA80g

[Dan Bogdanov / @[email protected] @danbogdanov]

The original @sharemind MPC paper has reached a thousand citations now. I know this is not impressive if you are in bioinformatics or work at CERN, but it's a nice landmark in cryptography. Thank you, everyone!

https://t.co/4X7ueUuDdx

[Sharemind by Cybernetica @sharemind]

@BenFerrum Work is ongoing with European Space Agency: https://t.co/5boFIcIjG5

[Sharemind by Cybernetica @sharemind]

Maybe, one day, we'll do a Mars based one.

[benferrum - e/jounce @BenFerrum]

@yangWao @Spacecoin_xyz @zama @poppyseedDev https://t.co/GcNkQaE7Tx

@sharemind did an Earth based one

[Dan Bogdanov / @[email protected] @danbogdanov]

@cybernetica is building MPC-as-a-Service for governments.

[Sharemind by Cybernetica @sharemind]

@sharemind MPC used for cross-site clinical trial between Germany and Italy with full ethics and GDPR approvals. Paper in npj Digital Medicine.

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study
https://t.co/g3rhQRcbXk

[Sharemind by Cybernetica @sharemind]

@riivo_t : Reducing MPC implementation cost by splitting the platform & runtime | Decompute '24
https://t.co/kqYZmdrftV

Watch it if you are thinking that all MPC vendors should not be duplicating code that much.

[Dan Bogdanov / @[email protected] @danbogdanov]

@mcraddock Includes @sharemind MPC, so must be proper.

[Sharemind by Cybernetica @sharemind]

@sharemind MPC Product Owner @riivo_t will be speaking at DeCompute 2024 about Reducing #MPC implementation cost by splitting platform and runtime.
He will introduce our work on making sure MPC vendors can share code and reduce vendor lock-in risk.
See: https://t.co/eqIxG2jzLv

[Sharemind by Cybernetica @sharemind]

@sharemind has always been rooted in strong foundations. Read a formal treatment of the @sharemind MPC security model here: https://t.co/1Al3syKWAY

[Dan Bogdanov / @[email protected] @danbogdanov]

Next week, @pillepullonen from @cybernetica defends her PhD thesis "Foundations of efficient and secure algorithm development for secure multiparty computation" at @UniTartuCS. Supervised by me and Sven Laur. https://t.co/sboa05YbWr 1/3

[Sharemind by Cybernetica @sharemind]

Want to know where privacy technologies like @sharemind fit into e-governments? New paper from @liinakamm, @danbogdanov, Eduardo Brito and Andre Ostrak has blueprints! https://t.co/PHI9b5p6ZT

[Sharemind by Cybernetica @sharemind]

@cybernetica is supporting the Theory and Practice of Multi-Party Computation Workshop (TPMPC 2024). We have a number of interesting news to share about the future of @sharemind so come and meet @riivo_t and the team there to know more!

https://t.co/lfsyTyIjmo

[Sharemind by Cybernetica @sharemind]

Yes, you can use @sharemind MPC for securing weight aggregation in federated learning. Proof of concept still, bigger implementations incoming.
https://t.co/PQ1Znsqr8Z

[Oleg Šelajev 🇪🇪🧊🐳 @shelajev]

This is pretty amazing! Didn’t hear about Yao circuits since my university days!

There’s also @sharemind if you want a productized approach to multi party computation

[Dan Bogdanov / @[email protected] @danbogdanov]

Digital advertising without 3rd party cookies.

@cybernetica and the @sharemind team were part of an experiment with @Meta in the Singapore IMDA Privacy Enhancing Technology sandbox. Testing the Interoperable Private Attribution was a great experience!

https://t.co/nr7LyqEIpy

[Sharemind by Cybernetica @sharemind]

2023 was a good year for @sharemind MPC.

2024 will be better, you'll hear from us soon.

We'll just leave this here, as a hint of what's to come.

https://t.co/rLqZYPeonk

[Pille Pullonen-Raudvere @pillepullonen]

In @TEADAL_eu we are thinking about PETs in federated data lakes and looking forward to using @sharemind in some interesting pilots. Read more in https://t.co/5OIfdwZfqS

[Cybernetica @cybernetica]

PAI-MACHINE with @USNavyResearch is about accelerating the development of cryptographically secure #artificialintelligence. We will build on Cybernetica’s expertise in secure multi-party computation technologies, namely Sharemind MPC.
Read more below.
https://t.co/XJDkuBBaBQ

[Sharemind by Cybernetica @sharemind]

@cybernetica and Office of Naval Research Global have started a project to develop machine-optimised secure multi-party computation protocols for AI.

We expect that @sharemind MPC will be breaking some records on secure neural network training. Read:
https://t.co/3fmrFPbHuC

[Sharemind by Cybernetica @sharemind]

@sharemind MPC 2023.09 is released!

Now supports Debian 12 (Bookworm) and Ubuntu 22.04 (Jammy Jellyfish).

New feature: parallel ORAM in the SecreC standard library

New feature: new fixed point operations

SDK download: https://t.co/35JguxJ2v3

Manual: https://t.co/MuTH3jaAD4