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.
