zksnark-sudoku

Sudoku Verifier

A Sudoku game verifier utilizing zkSNARK to ensure puzzle solution integrity

sudoku game verify by zksnark.

GitHub

15 stars
1 watching
2 forks
Language: TypeScript
last commit: almost 2 years ago

Related projects:

Repository Description Stars
iden3/snarkjs A JavaScript and WebAssembly implementation of a zero-knowledge proof protocol for secure multi-party computations 1,790
mrozio13pl/sudoku-in-terminal A Sudoku game built with TypeScript and React, playable in the terminal 11
patrick9313/sudoku A MATLAB program using an heuristic search algorithm to solve specific Sudoku puzzles 30
zeevkatz/scroll A TypeScript-based game written in Web Components using the JS13K game competition as a challenge 23
iden3/wasmsnark A Web Assembly-based library for generating and verifying zero-knowledge proofs using zkSnark protocols 210
jstoxrocky/zksnarks_example A practical tutorial on creating and verifying zkSNARKs in contracts 295
matter-labs-archive/snarkygpu A GPU-based zkSNARK prover that aims to improve the performance of distributed verification processes for blockchain applications. 23
moeidheidari/sudoku-challenge A Sudoku game application with a web interface and containerized deployment on Kubernetes. 27
zokrates/zokrates Toolbox for implementing and deploying zkSNARKs on the Ethereum blockchain 1,828
vladmrnv/statify A ZSH plugin for performing basic math and statistical operations. 4
luozhuzhang/zkps-circuit-snark A zk-SNARK implementation using circom and snarkjs for secure multi-party computation and decentralized applications. 61
fluidex/plonkit Provides tools and utilities for generating and verifying proofs in a zkSNARK proof system 158
nalinbhardwaj/zordle A web application built using Zero-Knowledge Proof technology to verify players' knowledge of word mappings without revealing the words themselves. 215
0xzkml/zk-mnist A demo project that integrates machine learning and zero-knowledge proof verification in a web application using TypeScript. 119
lyronctk/zator This project verifies the inference of a deep neural network using recursive SNARKs and leverages a folding scheme to reduce computation complexity. 156