30 – Synthetic Graphs for Privacy: Lessons Learned and Key Takeaways

• Priyanka Angadi, Data Science Manager, PwC
Session type: Lightning Talk

Abstract: “Synthetic graphs offer a powerful method for implementing privacy by design. We implemented several research-based algorithms on real-world data. In particular, we focused on two algorithms: synthetic graphs by Mittal et al. that adds nodes and edges to a graph while persevering their utility; and the uncertainty injection approach of Boldi et al. that introduces edge probabilities to obfuscate graph information. Although tested on research data, these algorithms posed certain challenges when using them on real-world data. This presentation will cover lessons learned and the modifications we applied when processing data with personally-identifiable information.”