Quantifying Transaction Privacy in MEV-Share with Differential Hints
A new mechanism introduces differentially private aggregate hints, allowing users to quantify privacy loss and optimize rebates in MEV extraction.
Quantifying MEV-Share Privacy with Aggregate Hints
Introduces Differentially-Private aggregate hints, enabling users to formally quantify privacy loss in MEV-Share for equitable extraction.
Gasless Transactions Streamline Decentralized Finance User Experience
Automated fee abstraction simplifies DeFi interactions, removing critical friction for new users and enabling broader mainstream adoption of decentralized finance protocols.
MEV Limits Blockchain Scaling, Demands New Economic Design
This research establishes Maximal Extractable Value as the primary economic constraint on blockchain scalability, advocating for new auction designs to efficiently allocate blockspace.
