Wenzhong Guo

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons

2022 · arXiv (Cornell University)

The opacity of neural networks leads their vulnerability to backdoor attacks, where hidden attention of infected neurons is triggered to override normal predictions to the attacker-chosen ones. In this paper, we propose a novel backdoor …

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

2023 · arXiv (Cornell University)

Graph Convolutional Network (GCN) with the powerful capacity to explore graph-structural data has gained noticeable success in recent years. Nonetheless, most of the existing GCN-based models suffer from the notorious over-smoothing issue, owing to which …

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Due to the powerful capability to gather the information of neighborhood nodes, Graph Convolutional Network (GCN) has become a widely explored hotspot in recent years. As a well-established extension, Graph AutoEncoder (GAE) succeeds in mining …