Gradient-Free Adversarial Attacks for Bayesian Neural Networks.
Matthew YuanMatthew WickerLuca LaurentiPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- bayesian estimation
- recurrent neural networks
- malicious attacks
- bayesian networks
- back propagation
- countermeasures
- fuzzy systems
- posterior probability
- genetic algorithm
- denial of service attacks
- traffic analysis
- bayesian learning
- neural nets
- feed forward
- neural network model
- self organizing maps
- multi agent
- multi layer
- posterior distribution
- training algorithm
- gradient information
- malicious users
- multilayer perceptron
- terrorist attacks
- image processing
- fuzzy logic
- access control
- security mechanisms
- fault diagnosis
- radial basis function
- bayesian inference