Inference Attacks Against Graph Generative Diffusion Models

This is the implementation for our paper "Inference Attacks Against Graph Generative Diffusion Models", which has been accepted by USENIX 2026.

## Running examples

    See the README.md under each attack and defense file

## Generative diffusion model 

The original implementation of EDP-GNN model we used in the paper can be found here:

- https://github.com/ermongroup/GraphScoreMatching

The original implementation of GDSS model we used in the paper can be found here:

- https://github.com/harryjo97/GDSS

The original implementation of Digress models we used in the paper can be found here:

- https://github.com/cvignac/DiGress