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.
Decentralized Time-Lock Encryption Eliminates Single Point of Failure
This protocol introduces a Time-Lapse Cryptography Service using secret sharing to construct a decryption key, guaranteeing conditional information release without a trusted single party.
New Asynchronous Key Generation Protocol Boosts Decentralized Security Efficiency
A novel Asynchronous Distributed Key Generation protocol drastically lowers the computational cost of threshold cryptosystems, enabling robust, fast decentralized key management.
Cryptographic Whistleblowing Secures Protocols against Smart Collusion Incentives
This research introduces Cryptographic Whistleblowing, a mechanism design primitive that uses provable on-chain penalties to enforce honesty against financially rational colluders.
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.
Secure VFL with Blockchain and Feature Sharing Proof
A novel decentralized framework combines blockchain and replicated secret sharing, enabling privacy-preserving vertical federated learning with verifiable feature sharing.
Threshold Signatures Enhance Blockchain Security, Decentralization, and Fault Tolerance
A novel cryptographic primitive distributes signing authority across multiple parties, fundamentally mitigating single points of failure and bolstering decentralized system resilience.
Verifiable One-Time Programs Enable Novel Single-Round Open Secure Computation
Verifiable One-Time Programs and Open Secure Computation enable efficient, private single-round multi-party protocols with minimal quantum assistance.
Decentralized Private Vertical Federated Learning with Novel Feature Sharing Consensus
SecureVFL integrates a permissioned blockchain, a novel Proof of Feature Sharing consensus, and Replicated Secret Sharing for private, verifiable multi-party federated learning.