General-Purpose Zero-Knowledge Proofs Enhance Verifiable Credential Privacy
This research leverages zk-SNARKs to enable flexible, privacy-preserving verification logic for digital identities, fundamentally transforming data minimization in decentralized systems.
Bayesian Mechanism Design Yields Truthful, Collusion-Proof Blockchain Transaction Fees
This research introduces an auxiliary mechanism method to design transaction fee mechanisms that overcome existing impossibility results, enabling positive miner revenue while preserving truthfulness and collusion-proof properties in blockchain systems.
Data Availability Sampling Secures Light Clients and Scales Blockchains
A novel proof system combines fraud and data availability proofs, enabling scalable blockchains with robust light client security and reduced reliance on honest majorities.
Folding Schemes Enable Efficient Recursive Zero-Knowledge Arguments
A new cryptographic primitive, the folding scheme, dramatically reduces recursive proof overhead, unlocking practical incrementally verifiable computation.
Folding Schemes Revolutionize Recursive Zero-Knowledge Arguments for Efficient Verifiable Computation
Folding schemes enable highly efficient recursive proof composition, fundamentally advancing scalable and verifiable computation for decentralized systems.
Verifiable Delay Functions: Cryptographic Sequentiality for Decentralized Systems
A novel cryptographic primitive, Verifiable Delay Functions, introduces guaranteed sequential computation, enabling trustless time-based operations in decentralized networks.
Mechanism Design Secures Blockchain Consensus against Untruthful Forks
This research introduces revelation mechanisms to ensure truthful blockchain consensus, leveraging economic incentives to prevent malicious forks and enhance network reliability.
Venus Protocol User Phished, $13.5 Million Recovered by Governance
A sophisticated phishing attack leveraging a malicious client compromised a user's delegated account control, exposing DeFi to social engineering vulnerabilities.
ZKPoT: Private and Scalable Federated Learning Consensus via Zero-Knowledge Proofs
A novel Zero-Knowledge Proof of Training consensus mechanism secures federated learning, enabling private model verification and scalable blockchain integration.
