Commit-and-Prove Zero-Knowledge Reduces Space Complexity for Large Circuits
Commit-and-Prove ZK is a new cryptographic primitive that enables memory recycling, dramatically reducing space complexity for large-scale verifiable computation.
Lattice-Based Argument Achieves Post-Quantum Succinctness and Transparency
Researchers introduce a new lattice-based succinct argument, solving the post-quantum ZKP trilemma to secure future decentralized systems.
Zero-Knowledge Machine Learning Operations Cryptographically Secures AI Integrity
The Zero-Knowledge Machine Learning Operations (ZKMLOps) framework introduces cryptographic proofs to guarantee AI model correctness and privacy, establishing a new standard for auditable, trustworthy decentralized computation.
Recursive Zero-Knowledge Proofs Unlock Unbounded Computational Compression
Recursive proof composition enables constant-time verification of infinite computation, fundamentally solving the scalability limit of verifiable systems.
Efficient Lattice Polynomial Commitments Secure Post-Quantum ZK Systems
A novel lattice-based polynomial commitment scheme achieves post-quantum security with 8000x smaller proofs, enabling practical, scalable ZK-rollups.
Goldwasser-Kalai-Rothblum Protocol Turbocharges Verifiable Computation Efficiency
A new proof system architecture uses the sumcheck protocol to commit only to inputs and outputs, achieving logarithmic verification time for layered computations, drastically scaling ZK-EVMs.
Mercury Multi-Linear Commitment Scheme Achieves Optimal Succinctness
The Mercury Multi-Linear Polynomial Commitment Scheme achieves constant proof size and near-optimal prover work, eliminating the efficiency trade-off in verifiable computation.
Homomorphic Accumulators Enable Universal Succinct Zero-Knowledge Arguments
A new homomorphic accumulator primitive allows universal zero-knowledge arguments, dramatically improving proof efficiency for any computation, fostering scalable and private blockchain applications.
