Gailly, N., Maller, M., & Nitulescu, A. 2022, May 2–6 Snarkpack: practical snark aggregation. Unpublished paper presented at Financial Cryptography and Data Security 2022.
Added by: Rucknium (2022-05-05 21:04)
|Resource type: Conference Paper
BibTeX citation key: Gailly2022
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Creators: Gailly, Maller, Nitulescu
Collection: Financial Cryptography and Data Security 2022
|Attachments 24.pdf [10/257]||URLs https://fc22.ifca. ... proceedings/24.pdf|
Zero-knowledge SNARKs (zk-SNARKs) are non-interactive
proof systems with short and efficiently verifiable proofs that do not re-
veal anything more than the correctness of the statement. zk-SNARKs
are widely used in decentralised systems to address privacy and scalabil-
A major drawback of such proof systems in practice is the requirement
to run a trusted setup for the public parameters. Moreover, these param-
eters set an upper bound to the size of the computations or statements
to be proven, which results in new scalability problems.
We design and implement SnarkPack, a new argument that further re-
duces the size of SNARK proofs by means of aggregation. Our goal is to
provide an off-the-shelf solution that is practical in the following sense:
(1) it is compatible with existing deployed SNARK systems, (2) it does
not require any extra trusted setup.
SnarkPack is designed to work with Groth16 scheme and has logarithmic
size proofs and a verifier that runs in logarithmic time in the number of
proofs to be aggregated. Most importantly, SnarkPack reuses the public
parameters from Groth16 system.
SnarkPack can aggregate 8192 proofs in 8.7s and verify them in 163ms,
yielding a verification mechanism that is exponentially faster than other
solutions. SnarkPack can be used in blockchain applications that rely on
many SNARK proofs such as Proof-of-Space or roll-up solutions.