Lattice-Based Inner Product Argument Unlocks Post-Quantum Transparent SNARKs
The Lattice-IPA primitive achieves a succinct, transparent, and quantum-resistant proof system, fundamentally securing verifiable computation against future quantum adversaries.
Equifficient Polynomial Commitments Unlock Optimal SNARK Size and Speed
A new equifficient polynomial commitment primitive resolves the SNARK size-time trade-off, enabling the smallest proofs and fastest verifiable computation.
Interactive Oracle Proofs Enable Trustless, Scalable, Post-Quantum Verifiable Computation
Interactive Oracle Proofs generalize PCPs, constructing transparent, quasi-linear proof systems that eliminate trusted setup for mass-scale verifiable computation.
ZNARKs Enable Efficient Verifiable Computation over Integers
A new polynomial commitment with modular remainder fundamentally simplifies creating succinct arguments for real-world integer arithmetic.
Linear-Complexity Secret Sharing Unlocks Scalable Decentralized Randomness Beacons
A novel Publicly Verifiable Secret Sharing scheme reduces complexity to O(n), enabling highly scalable, unbiasable randomness for large-scale consensus.
Sublinear Vector Commitments Enable Constant-Time Verification for Scalable Systems
A new vector commitment scheme achieves constant verification time with logarithmic proof size, fundamentally enabling efficient stateless clients and scalable data availability.
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.
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.
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.
Probabilistic Sampling Verifies Data Availability Securing Modular Blockchain Scaling
Data Availability Sampling leverages erasure coding to enable light nodes to probabilistically verify block data, fundamentally solving the L2 scaling data bottleneck.
Optimal Prover Time Unlocks Scalable Zero-Knowledge Verifiable Computation
A new zero-knowledge argument system achieves optimal linear prover time, fundamentally eliminating the computational bottleneck for verifiable execution of large programs.
