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zk-fft

This project presents a zero-knowledge (ZK) proof generator for the Fast Fourier Transform (FFT) with the Cooley-Tukey algorithm. It serves as a piece of an alternative to bootstrapping for zero-knowledge in the CKKS scheme within Fully Homomorphic Encryption (FHE). The aim is to demonstrate the feasibility of such zk proof generation for FFT with real numbers. We utilized the RISC0 zkVM for implementation.

Quick Start

First, make sure rustup is installed. The rust-toolchain.toml file will be used by cargo to automatically install the correct version.

To build all methods and execute the method within the zkVM, run the following command:

cargo run

Executing the project locally in development mode

Put together, the command to run your project in development mode while getting execution statistics is:

RUST_LOG="executor=info" RISC0_DEV_MODE=1 cargo run

Running proofs remotely on Bonsai

If you have access to the URL and API key to Bonsai you can run your proofs remotely. To prove in Bonsai mode, invoke cargo run with two additional environment variables:

BONSAI_API_KEY="YOUR_API_KEY" BONSAI_API_URL="BONSAI_URL" cargo run

Test

You can test proof generation and verifciation of FFT within zkVM. It tests for various input sizes.

cargo test

Benchmarks

Detailed information for performance benchmarks are here.

n Proving time Verifying time
1 33.04s 82.44ms
10 44.43s 83.83ms
50 56.25s 85.69ms
100 72.76s 90.62ms
1000 231.89s 78.89ms
4096 726.64s 92.49ms

Benchmark graph

Directory Structure

zk-fft
├── Cargo.toml
├── core
│   ├── Cargo.toml
│   └── src
│       └── lib.rs                         <-- [Core type goes here]
├── host
│   ├── Cargo.toml
│   └── src
│       └── main.rs                        <-- [Host code goes here]
└── methods
    ├── Cargo.toml
    ├── build.rs
    ├── guest
    │   ├── Cargo.toml
    │   └── src
    │       └── bin
    │           └── method_name.rs         <-- [Guest code goes here]
    └── src
        └── lib.rs

Note

  • This project is part of the acceleration program with PSE team. The project is currently under a rapid development.
  • There is an issue with the guest's code, specifically with the 'corr' function. This function performs adequately with a relatively small number of inputs (n), but its error becomes larger as the value of n increases significantly.
  • Risc0 supports CUDA operations, but we are encountering bugs enabling it.

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Zk proof of FFT written with RISC0 zkVM

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