Measuring Legislature-Aligned Privacy Risks in Synthetic Graphs
SyntheGrAnon is introduced, a framework for evaluating synthetic graph anonymity that primarily targets the singling out, linkability, and inference risks outlined in the EU GDPR at the node and community levels, while also including edge-level attacks as an extension of the node-level setting.
Abele Malan, Ahmad Al Kurdi, Stefanie Roos et al.
· Proceedings on Privacy Enhan... · 0 citations