Gaussian Differential Privacy on Riemannian Manifolds

Yangdi Jiang, Xiaotian Chang, Yi Liu +3

We develop an advanced approach for extending Gaussian Differential Privacy (GDP) to general Riemannian manifolds. The concept of GDP stands out as a prominent privacy definition t…