Search Results for author:
Found 2 papers, 1 papers with code
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
In this work, we propose a novel insight into integrating SNNs with Graph Transformers and design a Spiking Graph Attention (SGA) module.
Security Matters: A Survey on Adversarial Machine Learning
Adversarial machine learning is a fast growing research area, which considers the scenarios when machine learning systems may face potential adversarial attackers, who intentionally synthesize input data to make a well-trained model to make mistake.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
