Welcome to the resource topic for 2023/1799
Title:
BabySpartan: Lasso-based SNARK for non-uniform computation
Authors: Srinath Setty, Justin Thaler
Abstract:Lasso (Setty, Thaler, Wahby, ePrint 2023/1216) is a recent lookup argument that ensures that the prover cryptographically commits to only “small” values. This note describes BabySpartan, a SNARK for a large class of constraint systems that achieves the same property. The SNARK is a simple combination of SuperSpartan and Lasso. The specific class of constraint systems supported is a generalization of so-called Plonkish constraint systems (and a special case of customizable constraint systems (CCS)). Whereas a recent work called Jolt (Arun, Setty, and Thaler, ePrint 2023/1217) can be viewed as an application of Lasso to uniform computation, BabySpartan can be viewed as applying Lasso to non-uniform computation.
ePrint: https://eprint.iacr.org/2023/1799
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