Search Results for author:
Found 2 papers, 1 papers with code
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Machine unlearning aims to eliminate the influence of a subset of training samples (i. e., unlearning samples) from a trained model.
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
The key idea is to decouple the feature projection and message passing via a DP PageRank algorithm which learns the structure information and uses the top-$K$ neighbors determined by the PageRank for feature aggregation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
