Lattice-Based Folding Achieves Post-Quantum Recursive SNARK Efficiency
The first lattice-based folding protocol enables recursive SNARKs to achieve post-quantum security while matching the performance of pre-quantum schemes.
Universal Zero-Knowledge Proofs Eliminate Program-Specific Trusted Setup
A universal circuit construction for SNARKs decouples the setup from the program logic, establishing a single, secure, and permanent verifiable computation layer.
Proof-Carrying Data Enables Scalable Verifiable Distributed Computation
Proof-Carrying Data is a cryptographic primitive enabling proofs to verify other proofs, compressing arbitrary computation history into a single, constant-size argument.
Complexity-Preserving SNARKs via Recursive Composition and Proof-Carrying Data
The first complexity-preserving SNARK in the plain model eliminates expensive setup, enabling efficient, publicly verifiable, and composable computation.
Lattice Folding Secures Recursive Zero-Knowledge Proofs against Quantum Threats
LatticeFold replaces discrete log commitments with lattice cryptography, enabling the first post-quantum folding scheme for quantum-safe recursive ZK-SNARKs.
Straightline Extractors Prove Recursive Zero-Knowledge Security without Loss
New analysis proves recursive SNARK composition incurs no security loss, formally validating the foundational security model for all scalable zero-knowledge rollups.
Lattice-Based Folding Achieves Post-Quantum Recursive Succinct Proof Systems
This lattice-based folding scheme enables the first efficient, post-quantum secure recursive SNARKs, securing future scalable blockchain state against quantum threat.
WARP: Linear Accumulation Unlocks Post-Quantum Scalable Verifiable Computation
Introducing WARP, a hash-based accumulation scheme achieving linear prover time and logarithmic verification, radically accelerating recursive proof systems.
Recursive Proof Composition Unlocks Complexity-Preserving Succinct Arguments
The breakthrough uses recursive composition and Proof-Carrying Data to transform resource-intensive SNARKs into complexity-preserving systems, enabling scalable verifiable computation.
