Optimal Zero-Knowledge Proofs for Arbitrary Arithmetic Circuits
This research introduces ZKP protocols with optimal prover efficiency for any circuit, removing trusted setup constraints and enabling practical large-scale verifiable computation.
Optimal Zero-Knowledge Proofs Drive Trustless Cross-Chain Interoperability and AI Privacy
Pioneering zero-knowledge proofs fundamentally accelerate verifiable computation, enabling trustless blockchain interoperability and private AI with unprecedented efficiency.
Affine One-Wayness: Post-Quantum Temporal Verification for Distributed Systems
Affine One-Wayness (AOW) is a novel post-quantum cryptographic primitive, securing verifiable temporal ordering in distributed systems without trusted clocks.
Efficient Zero-Knowledge Proofs: Bridging Theory to Practical Blockchain Applications
This research introduces novel zero-knowledge proof protocols, significantly enhancing efficiency and scalability for secure, trustless blockchain and AI systems.
Libra, Virgo, Virgo++: Optimal Zero-Knowledge Proofs for Practical Systems
New zero-knowledge protocols, Libra, Virgo, and Virgo++, achieve optimal prover time, rapid verification, and succinct proofs, making ZKPs practical for blockchain and AI.
STARKs: Scalable, Transparent, Post-Quantum Secure Computational Integrity
This research introduces Scalable Transparent ARguments of Knowledge (STARKs), a cryptographic primitive enabling verifiable computation without trusted setups, ensuring post-quantum security.
Lasso: Lookup Arguments Unlock Efficient Zero-Knowledge Computation
Lasso introduces a novel lookup argument that significantly optimizes zero-knowledge proofs by enabling efficient commitment to small field elements, transforming complex computations into succinct lookups.
Ligetron: Scalable, Post-Quantum, Memory-Efficient Zero-Knowledge Proofs for Web Applications
This research introduces Ligetron, a novel zero-knowledge proof system that leverages WebAssembly semantics to achieve sublinear memory usage and post-quantum security, enabling scalable verifiable computation on commodity hardware and browsers.
GPU Acceleration Decouples ZKP Proving from Computation Latency
Research unlocks 800x speedups for ZKP proving by autotuning GPU kernels, collapsing the computational barrier to verifiable scale.
