1 citations · 1 across the 7 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.AI2023
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks,
Yuwei Han, Yuni Lai, Yulin Zhu +1
Graph Neural Networks (GNNs) have become widely used in the field of graph mining. However, these networks are vulnerable to structural perturbations. While many research efforts h…
cs.LG2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Yuni Lai, Yulin Zhu, Bailin Pan +1
Deep Graph Learning (DGL) has emerged as a crucial technique across various domains. However, recent studies have exposed vulnerabilities in DGL models, such as susceptibility to e…