Revelation Mechanisms Enforce Truthful Consensus in Proof-of-Stake Networks
Mechanism design introduces revelation games to Proof-of-Stake, ensuring a unique truthful equilibrium that fundamentally mitigates coordination failures and dishonest forks.
Collaborative Zero-Knowledge Proofs Secure Distributed Secrets Efficiently
This research introduces Collaborative zk-SNARKs, a cryptographic primitive allowing distributed parties to prove a statement about their collective secret data without centralization, achieving near-single-prover efficiency.
Real-Time Proving Transforms Layer One Execution into Native Verifiable Compute
Real-Time Proving integrates zero-knowledge proofs into Layer One execution, replacing costly N-of-N re-execution with efficient 1-of-N constant-time verification.
Proof of Quantum Work Secures Blockchain Consensus from Classical Attack
A novel Proof of Quantum Work consensus leverages quantum supremacy to create a quantum-safe, energy-efficient mining mechanism, fundamentally securing the blockchain against future classical attacks.
Lattice Functional Commitment Secures Post-Quantum Verifiable Computation
A new lattice-based functional commitment for circuits enables post-quantum secure, succinct, and general-purpose private verifiable computation.
Erasure Code Commitments Secure Data Availability Sampling Consistency
This new cryptographic primitive guarantees a commitment binds to a valid erasure codeword, solving data inconsistency in modular blockchain scaling.
Decentralized Private Computation Unlocks Programmable Privacy and Verifiability
Research introduces Decentralized Private Computation, a ZKP-based record model that shifts confidential execution off-chain, enabling verifiable, private smart contracts.
Lattice Cryptography Secures Blockchain Longevity against Quantum Threats
Integrating lattice-based cryptography, Proof-of-Stake, and ZKPs creates a quantum-resistant framework, safeguarding decentralized finance's future.
Zero-Knowledge Proof of Training Secures Private Decentralized Machine Learning Consensus
Zero-Knowledge Proof of Training (ZKPoT) leverages zk-SNARKs to validate collaborative model performance privately, enabling scalable, secure decentralized AI.
