Pseudorandom Error-Correcting Codes Enable Provable AI Watermarking
This research introduces Pseudorandom Error-Correcting Codes (PRCs), a novel cryptographic primitive providing provable guarantees for watermarking generative AI models.
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.
2PC-MPC: Massively Decentralized Zero-Trust Interoperability for Blockchains
Introducing 2PC-MPC, a novel cryptographic primitive for massively decentralized, zero-trust interoperability, enabling secure and scalable cross-chain asset management.
Quantum Crypto Guard: Post-Quantum Secure, Scalable, Private Blockchain Framework
Introducing Quantum Crypto Guard (QCG-ST), a novel blockchain framework integrating lattice-based cryptography and a sharded Proof-of-Stake consensus for quantum-resistant, scalable, and private transactions.
Novel Formalism Enhances Zero-Knowledge Circuit Verification Scalability and Correctness
A new Prime Field Constraint System (PFCS) formalism and tools enable scalable, compositional verification of zero-knowledge circuits, critical for ZKP security.
Optimized Consensus Enhances Private Blockchain Scalability and Efficiency
A novel consensus method optimizes kernel scheduling and committee-based processing, fundamentally boosting private blockchain scalability and transaction efficiency.
Affine One-Wayness Enables Post-Quantum Temporal Ordering in Distributed Systems
Affine One-Wayness (AOW) is a novel post-quantum cryptographic primitive, securing verifiable temporal ordering in distributed systems without trusted clocks.
Orion: Linear Prover Time, Polylogarithmic Zero-Knowledge Proofs
Orion introduces a novel zero-knowledge argument system achieving linear prover time and polylogarithmic proof size, significantly enhancing ZKP efficiency.
Neural Networks Forge Post-Quantum Digital Signatures
A novel digital signature scheme leverages neural networks for post-quantum security, ensuring authenticity and integrity against future quantum threats.
