A Framework for Differential Privacy Against Timing Attacks
Zachary Ratliff, Salil Vadhan · 2024
The standard definition of differential privacy (DP) ensures that a mechanism's output distribution on adjacent datasets is indistinguishable. However, real-world implementations of DP can, and often do, reveal information through their runtime distributions, making them susceptible to timing attacks.