Constant-Cost Batch Verification with Silently Verifiable Proofs
Silently Verifiable Proofs introduce a new zero-knowledge primitive that achieves constant verifier-to-verifier communication for arbitrarily large proof batches, drastically cutting overhead for private computation.
Constant-Cost Batch Verification for Private Computation over Secret-Shared Data
New silently verifiable proofs achieve constant-size verifier communication for batch ZKPs over secret shares, unlocking scalable private computation.
Silently Verifiable Proofs Enable Constant Communication Batch ZKP Verification
Silently verifiable proofs introduce a cryptographic primitive that reduces batch verification communication overhead to a single field element, unlocking truly scalable private computation.
Scaling Zero-Knowledge Proofs with Silently Verifiable Proofs
This research introduces silently verifiable proofs, a novel zero-knowledge system enabling constant communication cost for batch verification, fundamentally enhancing scalable privacy-preserving computation.
Inner-Product Arguments over Integers for Succinct Zero-Knowledge Proofs
This research extends inner-product arguments to integers, enabling succinct, batchable zero-knowledge proofs for arithmetic circuits and range proofs.
Distributed Verifiable Computation Secures Mobile Edge Computing Integrity and Efficiency
This paper introduces a distributed verifiable computation framework for mobile edge environments, ensuring integrity and low-latency for critical IoT applications.
Silently Verifiable Proofs Revolutionize Private Aggregation Scalability
Introducing silently verifiable proofs, this research enables constant server-to-server communication for zero-knowledge batch verification, fundamentally advancing privacy-preserving analytics at scale.
Scalable Zero-Knowledge Proofs for Private Analytics and Delegated Computation
This research introduces cryptographic primitives enabling scalable zero-knowledge proofs for private analytics and delegated computation, fundamentally reshaping decentralized system efficiency.
Scaling Zero-Knowledge Proofs for Private Aggregation and Delegation
This research introduces novel zero-knowledge proof systems that dramatically reduce server communication costs for private analytics and enhance distributed proof generation scalability, fundamentally improving the efficiency of privacy-preserving computations.
