… of differential privacy based on the Rényi divergence: if we want to have the hypothesis
testing interpretation for one of these relaxations we can use the 2-cut of the Rényi divergence. …

… The numerical upper bound on ϵ is from [FMT23] using analysis of Rényi differential privacy,
whereas the lower bound is obtained by binary search. When δ ď 107, the upper bound of […

… differential privacy is 2-generated, supporting the usual hypothesis testing interpretation
of differential privacy (3) We show that Rényi divergence is ∞-generated, ruling out a direct …

… The field of differential privacy has been developed to offer data analysis tools … hypothesis
testing problem under a slight variant of differential privacy, known as Renyi differential privacy…

… of performing regression analysis is for … of hypothesis tests. Given the realistic possibility of
reconstruction, membership, and inference attacks [46, 25], we can rely on Differential Privacy …

… Propose-Test-Release (PTR) is a differential privacy framework that works with local … This
is mainly due to the lack of Rényi Differential Privacy (RDP) analysis, an essential ingredient …

… binary hypothesis testing under both local differential privacy (LDP… For the sample complexity
of simple hypothesis testing under … of analysis: the optimal tests in the low and high privacy …

… Rényi Differential Privacy (RDP) guarantees for general discrete local randomizers in the
shuffle privacy … In particular, we develop a novel RDP analysis for neighboring datasets with a …

… generalisations of local differential privacy and Rényi differential privacy: two … differential
privacy definition. Finally, we discuss the hypothesis testing interpretation of quantum differential …

… definition that retains a hypothesis testing interpretation, we prove that the privacy … for the
order induced by other popular privacy notions such as Rényi differential privacy and (ɛ, δ)- D P…