ZNARKs Enable Efficient Verifiable Computation over Integers
A new polynomial commitment with modular remainder fundamentally simplifies creating succinct arguments for real-world integer arithmetic.
Distributed Zero-Knowledge Proofs Achieve Optimal Prover Computational Efficiency
Distributed proving protocols dramatically reduce ZKP generation time, transforming verifiable computation from a theoretical ideal to a scalable, practical primitive.
Post-Quantum Zero-Knowledge Proving on Constrained Client Devices
New transparent, post-quantum ZK protocols enable secure, low-resource proving on mobile devices, fundamentally unlocking decentralized identity at scale.
Distributed zkSNARKs Achieve Linear Prover Scalability with Constant Communication
A new distributed zkSNARK protocol, Pianist, achieves linear prover scalability by parallelizing proof generation with constant communication overhead, resolving the ZKP bottleneck for zkRollups.
Constant-Size Polynomial Commitments Unlock Scalable Zero-Knowledge Proof Systems
This cryptographic primitive allows a constant-size commitment to any polynomial, fundamentally decoupling proof size from computation complexity.
Zero-Knowledge Proof of Personhood Secures Decentralized Identity and Sybil Resistance
This research introduces Zero-Knowledge Proof of Personhood (ZK-PoP) to cryptographically enforce unique identity without compromising user privacy, solving the Sybil resistance challenge.
Verifiable Shuffle Function Ensures Fair Transaction Ordering and MEV Neutrality
A Verifiable Shuffle Function cryptographically enforces random transaction ordering, fundamentally neutralizing MEV and securing decentralized sequencing.
Black-Box Commit-and-Prove SNARKs Unlock Verifiable Computation Scaling
Artemis, a new black-box SNARK construction, modularly solves the commitment verification bottleneck, enabling practical, large-scale zero-knowledge machine learning.
Optimal Linear-Time Prover Computation Unlocks Practical Zero-Knowledge Proof Scalability
New zero-knowledge protocols achieve optimal linear-time prover computation, transforming ZKP systems into a practical, scalable primitive for verifiable computation.
Subspace Codes Enable Logarithmic Proof Size Constant Verification Time Commitment
A novel polynomial commitment scheme using subspace codes achieves logarithmic proof size and constant verification, enhancing rollup efficiency.
Zero-Knowledge Light Clients Unlock Trustless Cross-Chain Interoperability
By proving block finality off-chain with zk-SNARKs, the new light client paradigm replaces trusted bridge intermediaries with cryptographic security, making cross-chain communication feasible.
zk-STARKs Enable Scalable Private Identity and Verifiable Credential Revocation
A zk-STARKs-based framework uses cryptographic accumulators to resolve the privacy-transparency conflict, enabling scalable, anonymous credential revocation.
Zero-Knowledge Agreements Resolve Contract Privacy and On-Chain Enforceability Tension
A hybrid protocol uses zero-knowledge proofs and secure computation to enforce confidential legal agreements on-chain without revealing private terms.
Linear-Time Post-Quantum SNARKs Achieve Optimal Prover Efficiency
Brakedown introduces the first built linear-time SNARK, achieving optimal O(N) prover complexity for large computations while eliminating trusted setup.
FRIDA: FRI-based Data Availability Sampling without Trusted Setup
Leverages a novel property of the FRI proof system to construct a trustless, efficient data availability sampling scheme for modular blockchains.
Equifficient Polynomial Commitments Enable Ultra-Succinct, Faster Zero-Knowledge Proofs
Equifficient Polynomial Commitments introduce a new cryptographic primitive that separates linear and nonlinear constraints, setting the new frontier for zk-SNARK efficiency.
Proof of Compute Transforms Verifiable Work into a Consensus Primitive
Proof of Compute re-engineers consensus by rewarding verifiable ZK computation, fundamentally transforming computational work into a yield-bearing asset.
Universal zk-SNARKs Achieve Linear Circuit Size Eliminating Per-Program Setup
MIRAGE introduces a linear-size universal circuit to eliminate the per-computation trusted setup, unlocking practical, general-purpose verifiable computation.
