Quantifying the Compromise between Neutrality and Compliance in Proof-of-Stake
New analysis quantifies how Proposer-Builder Separation and MEV incentives compromise both censorship resistance and regulatory compliance.
Quantifying Fairness Granularity Mitigates MEV in Rollup Transaction Ordering
This mechanism introduces fairness granularity to FCFS sequencing, neutralizing network latency advantages and deterring spam for equitable transaction inclusion.
Decentralized Auction and Encryption Mitigate MEV, Ensuring Equitable Transaction Ordering
FairFlow introduces a commit-reveal auction and randomized ordering to eliminate validator control over transaction sequencing, potentially restoring fairness to DeFi.
Verifiable Delay Functions Establish Unpredictable Decentralized Randomness for Consensus
VDFs introduce a cryptographic time-lock that enforces sequential computation, creating a provably fair, unexploitable source of on-chain randomness for secure protocol design.
Zero-Knowledge Proof of Training Secures Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify model contributions privately, eliminating the trade-off between decentralized AI privacy and consensus efficiency.
