From 97804bf230753cd7bce2ed75c26cfb549d5b3533 Mon Sep 17 00:00:00 2001 From: Sven Trieflinger Date: Mon, 21 Feb 2022 10:35:45 +0100 Subject: [PATCH] Add Carbyne Stack to list of MPC frameworks (#50) Signed-off-by: Sven Trieflinger --- readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/readme.md b/readme.md index 8f62c51..af2890a 100644 --- a/readme.md +++ b/readme.md @@ -58,6 +58,7 @@ Here I tried to reference the most recent article found on specific software sin - [ABY](https://github.com/encryptogroup/ABY) - 2PC with secret sharing and garbled circuits; secure against semi-honest adversaries. | [NDSS'15](http://encrypto.de/papers/DSZ15.pdf). - [ABY3](https://github.com/ladnir/aby3) - 3PC with secret sharing for privacy preserving machine learning and database joins (PSI, Union, etc.); secure against semi-honest adversaries. | [CCS'18](https://eprint.iacr.org/2018/403.pdf), [2019/518](https://eprint.iacr.org/2019/518.pdf). - [BatchDualEx](https://github.com/osu-crypto/batchDualEx) - 2PC with garbled circuits; secure against malicious adversaries. | eprint: [2016/632](https://eprint.iacr.org/2016/632). +- [Carbyne Stack](https://carbynestack.io) - MPC cloud platform that combines state-of-the-art MPC with cloud-native technology like Kubernetes, Istio, and Knative to enable MPC deployments at scale. - [CrypTen](https://github.com/facebookresearch/CrypTen) - MPC with secret sharing; secure against semi-honest adversary; focused on building PyTorch applications. | documentation: [link](https://crypten.ai/) - [EMP-toolkit](https://github.com/emp-toolkit) - 2PC and MPC with garbled circuits; secure against semi-honest adversaries (emp-sh2pc). There are also ones resistant against malicious parties (emp-[ag2pc|m2pc|agmpc]) | eprint: [2017/189](https://eprint.iacr.org/2017/189), [2016/762](https://eprint.iacr.org/2016/762), [2017/030](https://eprint.iacr.org/2017/030). - [Fancy-Garbling](https://github.com/spaceships/fancy-garbling) - 2PC with arithmetic garbled circuits; secure against semi-honest adversaries. | eprint: [2016/969](https://eprint.iacr.org/2016/969).