Tag: privacy
All the talks with the tag "privacy".
Private Graph Extraction via Feature Explanation
Rishi Raj SahooPublished: at 02:00 PMThis study explores privacy leakage in GNNs through graph reconstruction attacks using feature explanations. It compares explanation methods—gradient-based, perturbation-based, and surrogate model-based—showing that explanations aid graph reconstruction, with a trade-off between privacy and utility. A defense using randomized response is proposed to reduce attack success.
Graph Neural Networks - Privacy and Applications
Rucha Bhalchandra JoshiPublished: at 02:00 PMThis work discusses the complex relationships within graph-structured data and the use of graph neural networks (GNNs) for tasks such as node classification and link prediction. It also addresses privacy concerns in GNNs and presents a privacy-preserving approach that safeguards local graph structures while enabling meaningful analysis and insights.