Transparent Constant-Size Zero-Knowledge Proofs Eliminate Trusted Setup
This breakthrough cryptographic primitive, based on Groups of Unknown Order, yields a truly succinct zk-SNARK without a trusted setup, unlocking scalable, trustless computation.
Vector-Code Commitments Unlock Transparent Logarithmic-Time Zero-Knowledge Proof Verification
A new Vector-Code Commitment scheme uses algebraic codes to create transparent, logarithmic-time verifiable proofs, radically improving ZKP scalability.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation and Privacy
Sublinear memory scaling for ZKPs breaks the computation size bottleneck, enabling universal verifiable privacy on resource-constrained devices.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation on Edge Devices
Researchers solved the ZKP memory bottleneck, achieving square-root space complexity to enable large-scale, private computation on all devices.
Transparent Succinct Proofs Eliminate Trusted Setup and Large Proof Size
A novel Vector Hash Commitment achieves constant-size, transparent proofs, resolving the critical trade-off between ZK-SNARK succinctness and ZK-STARK setup-free security.
Silently Verifiable Proofs Achieve Constant Communication Batch Zero-Knowledge Verification
Silently Verifiable Proofs introduce a zero-knowledge primitive that enables constant-cost batch verification, unlocking massive private data aggregation and rollup scaling.
Transparent Zero-Knowledge Proofs Achieve Optimal Prover Computation and Succinct Verification
The Libra proof system introduces a transparent zero-knowledge scheme achieving optimal linearithmic prover time, unlocking universally scalable private computation.
Lattice-Based Zero-Knowledge SNARKs Achieve Post-Quantum Security and Transparency
Labrador introduces a lattice-based zkSNARK that future-proofs blockchain privacy and scalability against the quantum computing threat.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation Scaling
A novel space-efficient tree algorithm reduces ZKP memory requirements from linear to square-root, unlocking verifiable computation on resource-constrained devices globally.
Sublinear Memory Zero-Knowledge Proofs Democratize Verifiable Computation Globally
Introducing the first sublinear memory zero-knowledge proof system, this breakthrough enables verifiable computation on resource-constrained devices, fundamentally scaling ZK adoption.
Optimal Linear-Time ZK Proofs Unlock Mass Verifiable Computation
Achieving optimal linear prover time for zero-knowledge proofs fundamentally solves the scalability bottleneck for verifiable computation and ZK-Rollups.
Brakedown Polynomial Commitment Achieves Linear-Time Proving with Quantum Security
This new commitment scheme leverages Expander Graphs for linear-time proving, dramatically accelerating zero-knowledge system generation and ensuring quantum resistance.
Optimal Prover Complexity Unlocks Linear-Time Zero-Knowledge Proof Generation
This breakthrough achieves optimal O(N) prover time for SNARKs, fundamentally solving the quasi-linear bottleneck and enabling practical, scalable verifiable computation.