Search Results for author:
Found 1 papers, 0 papers with code
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
In this paper, we measure the privacy leakage via studying whether graph representations can be inverted to recover the graph used to generate them via graph reconstruction attack (GRA).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
