Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.
Mengmei ZhangLinmei HuChuan ShiXiao WangPublished in: ICDM (2020)
Keyphrases
- neural network
- label propagation
- defense mechanisms
- graph representation
- attack graph
- genetic algorithm
- pattern recognition
- back propagation
- artificial neural networks
- random walk
- ddos attacks
- structured data
- label assignment
- graph structure
- multilayer perceptron
- weighted graph
- graph theory
- feed forward
- multi agent
- directed acyclic graph
- intrusion detection
- fuzzy logic
- graph matching
- neural network model
- connected components
- text categorization
- graphical models
- graph model
- graph databases
- countermeasures
- label noise
- social networks
- graph grammars
- learning algorithm
- graph theoretic
- multi layer
- neural nets
- network security
- recurrent neural networks
- self organizing maps
- fault diagnosis