Differential Privacy with Bounded Priors
Florian Tramèr, Zhicong Huang, Jean‐Pierre Hubaux, Erman Ayday · 2015
Differential privacy (DP) has become widely accepted as a rigorous definition of data privacy, with stronger privacy guarantees than traditional statistical methods. However, recent studies have shown that for reasonable privacy budgets, differential privacy significantly affects the expected utility. Many alternative privacy notions which aim at relaxing DP have since been proposed, with the hope of providing a better tradeoff between privacy and utility.