Ripple Upgrades XRP Ledger with Programmable Privacy for Institutional RWA Tokenization
Embedding Zero-Knowledge Proofs and Confidential MPTs resolves the institutional conflict between public ledger transparency and necessary data privacy, accelerating trillion-dollar RWA tokenization.
Blockchain Secures TEE State Continuity against Rollback and Forking
This research introduces Narrator-Pro, a blockchain-integrated TEE system, to prevent state manipulation attacks, enabling robust, decentralized confidential computing.
Fully Homomorphic Encryption Enables Confidential DeFi Lending
A new primitive using Fully Homomorphic Encryption allows public blockchains to facilitate private, institutional-grade DeFi lending, addressing a critical confidentiality gap.
Web3 Social Platforms Embrace Privacy-by-Design for User Data Control
Confidential computation protocols enable Web3 social platforms to deliver true user privacy, unlocking new monetization and identity models.
Multi-Client Functional Encryption Secures Private Multi-Source Data Computation
A novel Multi-Client Functional Encryption scheme enables secure, privacy-preserving inner product computations over data from multiple independent sources.
Fully Homomorphic Encryption Unlocks Ubiquitous Confidential Smart Contracts On-Chain
The Zama Protocol introduces a novel cross-chain confidentiality layer, leveraging Fully Homomorphic Encryption to enable smart contracts to process encrypted data without decryption, fostering ubiquitous on-chain privacy.
In-Memory PIR Architecture Revolutionizes Private Data Query Performance
IM-PIR leverages Processing-in-Memory to overcome data bandwidth limitations, enabling practical, high-throughput private information retrieval.
Succinct One-Sided Private Set Intersection for Confidential Data Matching
This research introduces a novel cryptographic primitive enabling private set intersection where one party learns the common elements succinctly, without revealing their own set.
Hardware-Backed Trust Enhances Blockchain Privacy and Scalability
Trusted Execution Environments introduce hardware-level isolation for confidential computation, fundamentally expanding blockchain's capacity for privacy and off-chain scalability.
Fully Homomorphic Encryption: Unlocking Ubiquitous Confidentiality for Blockchain Transactions
This research leverages Fully Homomorphic Encryption to enable on-chain computation over encrypted data, fundamentally transforming blockchain transparency into pervasive confidentiality.
Microsecond TFHE Bootstrapping Accelerates Confidential Blockchain Computation
Zama achieved microsecond TFHE bootstrapping on GPU, enabling practical confidential computation and accelerating FHE adoption in blockchain applications.
Dstack: Zero Trust Framework for Confidential Web3 Containers
A novel framework integrates Trusted Execution Environments with blockchain governance, enabling verifiable, portable, and censorship-resistant confidential computing for decentralized applications.
Fully Homomorphic Encryption Enables Confidential Computation for Smart Contracts
This research introduces a protocol for confidential smart contracts, leveraging Fully Homomorphic Encryption to process encrypted data on-chain, securing sensitive information in decentralized applications.
Scalable Zero-Knowledge Proofs for Machine Learning Fairness
Researchers developed FAIRZK, a novel system that uses zero-knowledge proofs and new fairness bounds to efficiently verify machine learning model fairness without revealing sensitive data, enabling scalable and confidential algorithmic auditing.
Ethereum Foundation Advances Network Privacy and Interoperability Roadmap
The Ethereum Foundation introduces a comprehensive privacy and interoperability roadmap, fortifying core architectural layers with zero-knowledge proofs.
