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
Gentry and Wichs proved that adaptively sound SNARGs for hard languages need non-falsifiable assumpt...
Recent efficient constructions of zero-knowledge Succinct Non-interactive Arguments of Knowledge (zk...
After the pioneering results proposed by Bellare et al in ASIACRYPT 2016, there have been lots of ef...
We introduce an efficient SNARK for towers of binary fields. Adapting Brakedown (CRYPTO \u2723), we ...
Succinct non-interactive arguments of knowledge (SNARKs) are cryptographic proofs with strong effici...
We construct a succinct non-interactive publicly-verifiable delegation scheme for any log-space unif...
Succinct non-interactive arguments of knowledge (SNARKs) are cryptographic proofs with strong effici...
Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a valuabl...
We construct a succinct non-interactive publicly-verifiable delegation scheme for any log-space unif...
This paper introduces Brakedown, the first built system that provides linear-time SNARKs for NP, mea...
Bilinear pairings have been used in different cryptographic applications and demonstrated to be a ke...
We revisit security proofs for various cryptographic primitives in the auxiliary-input random-oracle...
The existence of succinct non-interactive arguments for NP (i.e., non-interactive computationally-so...
SNARK is a well-known family of cryptographic tools that is increasingly used in the field of comput...
We introduce and study elastic SNARKs, a class of succinct arguments where the prover has multiple c...
Gentry and Wichs proved that adaptively sound SNARGs for hard languages need non-falsifiable assumpt...
Recent efficient constructions of zero-knowledge Succinct Non-interactive Arguments of Knowledge (zk...
After the pioneering results proposed by Bellare et al in ASIACRYPT 2016, there have been lots of ef...
We introduce an efficient SNARK for towers of binary fields. Adapting Brakedown (CRYPTO \u2723), we ...
Succinct non-interactive arguments of knowledge (SNARKs) are cryptographic proofs with strong effici...
We construct a succinct non-interactive publicly-verifiable delegation scheme for any log-space unif...
Succinct non-interactive arguments of knowledge (SNARKs) are cryptographic proofs with strong effici...
Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a valuabl...
We construct a succinct non-interactive publicly-verifiable delegation scheme for any log-space unif...
This paper introduces Brakedown, the first built system that provides linear-time SNARKs for NP, mea...
Bilinear pairings have been used in different cryptographic applications and demonstrated to be a ke...
We revisit security proofs for various cryptographic primitives in the auxiliary-input random-oracle...
The existence of succinct non-interactive arguments for NP (i.e., non-interactive computationally-so...
SNARK is a well-known family of cryptographic tools that is increasingly used in the field of comput...
We introduce and study elastic SNARKs, a class of succinct arguments where the prover has multiple c...
Gentry and Wichs proved that adaptively sound SNARGs for hard languages need non-falsifiable assumpt...
Recent efficient constructions of zero-knowledge Succinct Non-interactive Arguments of Knowledge (zk...
After the pioneering results proposed by Bellare et al in ASIACRYPT 2016, there have been lots of ef...