Adversarial Attacks on Graph Classifiers via Bayesian Optimisation.
Xingchen WanHenry KenlayRobin RuArno BlaasMichael A. OsborneXiaowen DongPublished in: NeurIPS (2021)
Keyphrases
- training data
- support vector
- graph theory
- graph representation
- graph model
- random walk
- linear classifiers
- weighted graph
- training samples
- naive bayes
- machine learning algorithms
- supervised classification
- machine learning methods
- test set
- training examples
- multi agent
- class conditional densities
- svm classifier
- classification algorithm
- training set
- bipartite graph
- graph structure
- bayesian networks
- decision trees
- gaussian processes
- feature selection
- structured data
- bayes classifier
- countermeasures
- bayesian methods
- posterior probability
- data sets
- feature set
- wireless sensor networks
- learning algorithm