Popular GitHub Repositories for Cryptography

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.

A Framework for Encrypted Machine Learning in TensorFlow

ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.

User-friendly secure computation engine based on secure multi-party computation

Java library for distributed zero knowledge proof systems

A SMPC companion library for Syft

The Project's goal is to simulate a decentralised approach to building machine learning models while protecting the privacy of users.

ONNXモデルをpyca/cryptographyを用いて暗号化/復号化するサンプル

离线的一键式LLM文本隐写加密程序，无需安装或任何额外配置。Offline one-click LLM text steganography program without installation or any additional configuration.

Java utility library, contain many feature, support to Large Language Model inference with LLaMA. Face Detection with OpenCV, Face Recognition with Python....and more

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

CipherCompute: Blind Join for Confidential Data Science and Federated Learning using MPC

Keras implementation of Adversarial Neural Cryptography

An advanced AI application integrating quantum computing capabilities with deep learning frameworks to create powerful hybrid classical-quantum AI models. This technology aims to unlock new applications in fields such as chemistry, materials science, drug discovery, finance, and cryptography.

Smart Transformers are a versatile machine learning tool that can be integrated with Pytorch, TensorFlow, and JAX. Smart transformers provide accurate computations required for cryptographic algorithms. These transformers is that they are independent modules, making it efficient to experiment with various research projects related to cryptanalysis

Implementing Cryptography using Neural Networks via Socket Communication

Comix generator -- demo of OpenAI DALL·E 3 and GPT-4 Turbo