HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks.
Udesh KumarasingheMohamed NabeelKasun De ZoysaKasun GunawardanaCharitha ElvitigalaPublished in: ICDM (Workshops) (2022)
Keyphrases
- neural network
- ddos attacks
- structured data
- artificial neural networks
- graph theory
- weighted graph
- pattern recognition
- directed graph
- graph representation
- countermeasures
- graph matching
- graph model
- bipartite graph
- multi agent
- graph structure
- multilayer perceptron
- neural nets
- watermarking scheme
- graph theoretic
- denial of service attacks
- training process
- feed forward
- neural network model
- heterogeneous networks
- back propagation
- terrorist attacks