Formal MEV Modeling Mechanically Certifies Optimal Adversarial Strategies
This research pioneers the formal verification of MEV bounds using the Lean theorem prover, providing cryptographic-grade correctness guarantees for DeFi security.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation on Constrained Devices
A novel proof system reduces ZKP memory from linear to square-root scaling, fundamentally unlocking privacy-preserving computation for all mobile and edge devices.
Validated Strong Asynchronous BFT for Scalable Vote-Based Blockchains
A novel validated strong BFT model enables leader-based asynchronous consensus, reducing message complexity and achieving linear view changes for scalable blockchains.
Threshold Signatures Enhance Blockchain Security, Decentralization, and Fault Tolerance
A novel cryptographic primitive distributes signing authority across multiple parties, fundamentally mitigating single points of failure and bolstering decentralized system resilience.
Batch Processing Eliminates MEV in Automated Market Makers
This research introduces a novel batch-processing mechanism for Automated Market Makers, fundamentally mitigating Miner Extractable Value and fostering equitable transaction execution.
Secure Multi-Party Computation Enables Private Collaborative Data Processing
Secure Multi-Party Computation enables joint function computation on private data, fostering privacy and collaboration across decentralized systems and sensitive applications.
LLMs Automate Smart Contract Formal Verification Property Generation
A novel system leverages large language models and retrieval-augmented generation to automate smart contract property creation, enhancing security and accessibility.
MEV Mitigation via Game Theory and Mechanism Design
This research formally models Maximal Extractable Value dynamics, proving its systemic welfare costs, and proposes cryptographic mechanisms to mitigate its adverse effects on decentralized finance.
