|0.3.0||Jun 7, 2021|
|0.2.0||Mar 25, 2021|
#860 in Cryptography
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Used in fewer than 6 crates
marlin is a Rust library that implements a
preprocessing zkSNARK for R1CS
universal and updatable SRS
WARNING: This is an academic prototype, and in particular has not received careful code review. This implementation is NOT ready for production use.
A zkSNARK with preprocessing achieves succinct verification for arbitrary computations, as opposed to only for structured computations. Informally, in an offline phase, one can preprocess the desired computation to produce a short summary of it; subsequently, in an online phase, this summary can be used to check any number of arguments relative to this computation.
The preprocessing zkSNARKs in this library rely on a structured reference string (SRS), which contains system parameters required by the argument system to produce/validate arguments. The SRS in this library is universal, which means that it supports (deterministically) preprocessing any computation up to a given size bound. The SRS is also updatable, which means that anyone can contribute a fresh share of randomness to it, which facilitates deployments in the real world.
The construction in this library follows the methodology introduced in the Marlin paper, which obtains preprocessing zkSNARKs with universal and updatable SRS by combining two ingredients:
- an algebraic holographic proof
- a polynomial commitment scheme
The first ingredient is provided as part of this library, and is an efficient algebraic holographic proof for R1CS (a generalization of arithmetic circuit satisfiability supported by many argument systems). The second ingredient is imported from
poly-commit. See below for evaluation details.
The library compiles on the
stable toolchain of the Rust compiler. To install the latest version of Rust, first install
rustup by following the instructions here, or via your platform's package manager. Once
rustup is installed, install the Rust toolchain by invoking:
rustup install stable
After that, use
cargo (the standard Rust build tool) to build the library:
git clone https://github.com/arkworks-rs/marlin.git cd marlin cargo build --release
This library comes with some unit and integration tests. Run these tests with:
Lastly, this library is instrumented with profiling infrastructure that prints detailed traces of execution time. To enable this, compile with
cargo build --features print-trace.
All benchmarks below are performed over the BLS12-381 curve implemented in the
ark-bls12-381 library, with the
asm feature activated. Benchmarks were run on a machine with an Intel Xeon 6136 CPU running at 3.0 GHz.
Running time compared to Groth16
The graphs below compare the running time, in single-thread execution, of Marlin's indexer, prover, and verifier algorithms with the corresponding algorithms of Groth16 (the state of the art in preprocessing zkSNARKs for R1CS with circuit-specific SRS) as implemented in
groth16. We evaluate Marlin's algorithms when instantiated with the PC scheme from [CHMMVW20] (denoted "M-AHP w/ PC of [CHMMVW20]"), and the PC scheme from [MBKM19] (denoted "M-AHP w/ PC of [MBKM19]").
The following graphs compare the running time of Marlin's prover when instantiated with the PC scheme from [CHMMVW20] (left) and the PC scheme from [MBKM19] (right) when executed with a different number of threads.
|Scheme||Proof size in bytes|
|Marlin AHP with PC of [CHMMVW20]||880|
|Marlin AHP with PC of [MBKM19]||784|
This library is licensed under either of the following licenses, at your discretion.
Unless you explicitly state otherwise, any contribution that you submit to this library shall be dual licensed as above (as defined in the Apache v2 License), without any additional terms or conditions.
Marlin: Preprocessing zkSNARKs with Universal and Updatable SRS
Alessandro Chiesa, Yuncong Hu, Mary Maller, Pratyush Mishra, Psi Vesely, Nicholas Ward
This work was supported by: an Engineering and Physical Sciences Research Council grant; a Google Faculty Award; the RISELab at UC Berkeley; and donations from the Ethereum Foundation and the Interchain Foundation.