## CryptoDB

#### Publications

Year
Venue
Title
2022
PKC
We advance the state-of-the art for zero-knowledge commit-and-prove SNARKs (CP-SNARKs). CP-SNARKs are an important class of SNARKs which, using commitments as glue'', allow to efficiently combine proof systems---e.g., general-purpose SNARKs (an efficient way to prove statements about circuits) and $\Sigma$-protocols (an efficient way to prove statements about group operations). Thus, CP-SNARKs allow to efficiently provide zero-knowledge proofs for composite statements such as $h=H(g^{x})$ for some hash-function $H$. Our main contribution is providing the first construction of CP-SNARKs where the proof size is succinct in the number of commitments. We achieve our result by providing a general technique to compile Algebraic Holographic Proofs (AHP) (an underlying abstraction used in many modern SNARKs) with special decomposition'' properties into an efficient CP-SNARK. We then show that some of the most efficient AHP constructions---Marlin, PLONK, and Sonic---satisfy our compilation requirements. Our resulting SNARKs achieve universal and updatable reference strings, which are highly desirable features as they greatly reduce the trust needed in the SNARK setup phase.

#### Coauthors

Diego F. Aranha (1)
Matteo Campanelli (1)
Chaya Ganesh (1)
Claudio Orlandi (1)
Akira Takahashi (1)