Quantum Rewinding Secures Succinct Arguments against Quantum Threats
A novel quantum rewinding strategy enables provably post-quantum secure succinct arguments, safeguarding cryptographic protocols from future quantum attacks.
OR-aggregation Advances Zero-Knowledge Set Membership for Efficient Blockchain Sensor Networks
Novel OR-aggregation optimizes zero-knowledge set membership for blockchain sensor networks, ensuring scalable, privacy-preserving IoT data management.
NuLink Secures Decentralized Applications Using Zero-Knowledge Proofs and Polynomial Commitments
This paper details how zero-knowledge proofs, particularly those leveraging polynomial commitments, establish trust and privacy within decentralized applications like NuLink, enabling verifiable computations and secure data transactions without revealing sensitive information.
ZKPoT Consensus Secures Federated Learning, Balancing Privacy and Efficiency
A novel Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism uses zk-SNARKs to validate model performance, enabling private, scalable federated learning.
Polynomial Commitment Schemes and Interactive Oracle Proofs Build SNARKs
Integrating Polynomial Commitment Schemes and Interactive Oracle Proofs constructs efficient zk-SNARKs, enabling scalable verifiable computation.
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.
Witness Encryption Indispensable for Resettable Zero-Knowledge Arguments
This research proves witness encryption is essential for highly secure, randomness-reusable zero-knowledge arguments, advancing practical privacy solutions.
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.
Optimizing Zero-Knowledge Proofs for Scalable Blockchain and AI Privacy
This research introduces new zero-knowledge proof protocols that dramatically accelerate proof generation and verification, enabling practical, private computation across blockchains and AI without trusted setups.
