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.

Zero-knowledge proof acceleration with GPUs for C++ and Rust

Space and Time | Proof of SQL

ACM consolidated LaTeX styles

A unified framework for privacy-preserving data analysis and machine learning

Efficient and Interactive Zero-Knowledge Proofs

Arbitrary width integers

This is a paper list of related papers about Machine Learning as a Service (MLaaS)

Libraries for finite field, elliptic curve, and polynomial arithmetic

Prototype implementations of various Collaborative zkSNARKs.

Versatile framework for multi-party computation

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Materials about Privacy-Preserving Machine Learning

A Framework for Encrypted Machine Learning in TensorFlow

resources about federated learning and privacy in machine learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

A suite of rust libraries for secure multi-party computation

FairplayMP provides secure multiparty computation.

A curated list of multi party computation resources and links.

MNIST converted to PNG format

A Cryptographic Inference Service for Neural Networks

A Rust library for polynomial commitments

Zero Knowledge Proofs Toolkit for CKB

A proof-of-concept Verifiable Delay Functions implementation in Rust

Smart contracts for zkPoD Decentralized Exchange

The underlying core library for zkPoD system

zkPoD: A decentralized system for perfect fair data exchange

El Gamal implemented with Elliptic Curves

ElGamal with elliptic curves