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cs.LG2023
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
Rongzhe Wei, Eleonora Kreačić, Haoyu Wang +4
Privacy concerns have led to a surge in the creation of synthetic datasets, with diffusion models emerging as a promising avenue. Although prior studies have performed empirical ev…
cs.LG2023★ 1 cited
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
Mufei Li, Eleonora Kreačić, Vamsi K. Potluru +1
Large-scale graphs with node attributes are increasingly common in various real-world applications. Creating synthetic, attribute-rich graphs that mirror real-world examples is cru…