Post-Quantum Dynamic K-Times Anonymous Authentication Enhances Privacy and Management
Pioneering lattice-based dynamic k-TAA enables adaptable, post-quantum anonymous authentication, critical for future privacy-preserving systems.
Lattice-Based Anonymous Authentication Enables Dynamic User Management
This research introduces the first lattice-based k-times anonymous authentication scheme supporting dynamic user management and post-quantum security, enhancing privacy systems.
Post-Quantum Secure Blockchain: Future-Proofing Cryptography against Quantum Threats
This research introduces a Post-Quantum Secure Blockchain, leveraging novel cryptographic primitives to safeguard decentralized systems from quantum computing attacks.
Post-Quantum Cryptography Secures Federated Learning with Blockchain Verification
A novel framework integrates post-quantum cryptography with blockchain to fortify federated learning against quantum threats, ensuring long-term data security.
Lattice-Based Accumulators Enable Post-Quantum Revocable Anonymous Credentials
This research introduces a novel lattice-based accumulator, offering a post-quantum secure and communication-efficient method for revoking anonymous digital credentials.
Lattice-Based Polynomial Commitments Enhance Succinct Argument Efficiency
A novel lattice-based polynomial commitment scheme significantly reduces proof sizes and eliminates preprocessing, advancing efficient post-quantum succinct arguments.
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.
Lattice-Based Non-Interactive Distributed Key Generation for Post-Quantum Security
This research introduces a novel lattice-based non-interactive distributed key generation protocol, enabling quantum-resistant, secure key management for future decentralized systems.
Succinct Oblivious Tensor Evaluation Unlocks Efficient Adaptive Cryptographic Primitives
A novel succinct oblivious tensor evaluation primitive, secured by Learning With Errors, enables adaptively-secure laconic function evaluation and optimal trapdoor hashing, advancing private verifiable computation.
