Lattice-Based Folding Achieves Post-Quantum Recursive Zero-Knowledge Proofs
First lattice-based folding scheme secures recursive SNARKs against quantum attack by replacing discrete logarithm commitments with Module SIS.
Generic Compiler Upgrades Mild SNARKs to Fully Succinct, Transforming Verifiable Computation
A new cryptographic compiler generically transforms slightly succinct arguments into fully succinct SNARKs, simplifying trustless scaling architecture.
Lattice SNARKs Achieve Post-Quantum Security, Public Verifiability, and Recursion
Researchers created the first lattice-based SNARK that is post-quantum secure and recursively composable, future-proofing verifiable computation.
Scalable Hardware Accelerates Zero-Knowledge Proof Generation Dramatically
This ASIC architecture fundamentally solves the ZKP prover bottleneck, delivering over 400x speedup to unlock verifiable computation at scale.
Improved Batched Threshold Encryption Secures Private Transaction Ordering
This cryptographic upgrade to Batched Threshold Encryption enables scalable, private mempools, fundamentally eliminating front-running MEV.
ZKProphet Pinpoints Number-Theoretic Transform as Zero-Knowledge Proof Bottleneck
Systematic performance analysis shifts optimization focus from MSM to NTT, unlocking the next generation of scalable verifiable computation.
Multifunction Tree Unit Accelerates Zero-Knowledge Proof Prover Time
A novel hardware unit optimizes the tree-based kernels of zkSNARKs, fundamentally reducing prover time to unlock scalable verifiable computation.
Zero-Knowledge Mechanisms Secure Private Verifiable Mechanism Design
This framework uses zero-knowledge proofs to allow mechanism designers to commit to secret rules while players verify incentive compatibility without a mediator.
Sublinear ZK Provers Democratize Verifiable Computation for All Devices
A streaming prover architecture reframes proof generation as tree evaluation, reducing ZKP memory from linear to square-root scaling for widespread adoption.
