Secret Sharing & Secure Computation Library for Go

Half of requirements, half needs of Tails

This article uses a simple use case involving a transaction between a vendor and a customer to illustrate the privacy-enhancing potential of oblivious transfer (OT) and to demonstrate how OT can be incorporated into a Python implementation of a web service by leveraging the otc library.

NIST_FIPS_180-4 - Secure Hash Standard

A library for encrypted, privacy preserving machine learning

Implementing Digital Signature Algorithm (DSA) with SHA3 for secure and efficient message signing.

The native vaccinator library

Testbed for machine learning algorithms using the FRESCO framework

Size bounded buffer as a secure data structure in C++

mpc implementation

TZDC - A Python library for privacy-enhancing data operations using cryptographic fragmentation and temporal key expiration.

This project explores and implements various techniques and protocols using SageMath. It covers topics such as Elliptic Curve Diffie-Hellman (ECDH) key exchange, homomorphic encryption, secure multi-party computation (MPC), queueing theory analysis, and RSA cryptanalysis.

A website you can try FHE easily

Open-source Python library that allows developers to leverage the nth.community service platform and API to implement secure, privacy-preserving data collaborations within their web services and applications.

Java File, programación multiproceso y multihilo, programación de comunicaciones en red, generación de servicios en red, y técnicas de programación seguras.

A toy implementation of Chaum's Dining Cryptographers problem to illustrate programmatic functionality over a reliable broadcast network, along with a brief explanation.

Using deep learning to detect lung conditions

pySecureCircuit is a Python library that allows secure multiparty computation using Yao's garbled circuit technique. The library provides a way for multiple parties to securely compute a function on their private inputs without revealing them to each other, using a combination of encryption, randomization, and computation over circuits.

Naïve implementation of garbled circuits.

Docker container to spin up a opensgx instance (secure and protected computation within an enclave/processor).