Extreme Points of the (0,δ)-LDP Polytope with Small Input Size and Arbitrary Output Sizes
Abstract
The structure of locally differentially private (LDP) mechanisms can be understood through the geometry of the corresponding privacy polytope. While the extreme points of the \( (ε,0)\)-LDP polytope are well characterized (Kairouz et al., 2014; Holohan et al., 2017; Pensia et al., 2017), comparatively little is known for the \((ε,δ)\)-LDP polytope with \(δ>0\). Recent work (Elangovan and Jog, 2024) has shown that even in the special case \(ε=0\), the \( (0,δ) \)-LDP privacy polytope exhibits fundamentally different behaviour. In this work, we provide complete characterizations of the extreme points for the low-input-alphabet regime \(k=2\) and \(k=3\) and with arbitrary output alphabet size \(m \). We also identify new extreme mechanisms for larger input alphabet sizes k, of the star configuration type, as introduced by Elangovan and Jog (2024).
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.