Search Results for author:
Found 2 papers, 0 papers with code
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes
Experiments demonstrate that a giant connected component of infected nodes can and does appear in real-world networks and that a simple inference attack can reveal the status of a good fraction of nodes.
Inference Attack
Social and Information Networks
Application-driven Privacy-preserving Data Publishing with Correlated Attributes
To address the privacy concerns of users in this environment, we propose a novel framework called PR-GAN that offers privacy-preserving mechanism using generative adversarial networks.
