2 papers
cs.CR2025
Locally Differentially Private Frequency Estimation via Joint Randomized Response
Ye Zheng, Shafizur Rahman Seeam, Yidan Hu +2
Local Differential Privacy (LDP) has been widely recognized as a powerful tool for providing a strong theoretical guarantee of data privacy to data contributors against an untruste…
cs.LG2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
Jiadong Lou, Xu Yuan, Rui Zhang +3
Graph neural networks (GNNs) have exhibited superior performance in various classification tasks on graph-structured data. However, they encounter the potential vulnerability from…