Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks.
Yunzhen FengTim G. J. RudnerNikolaos TsilivisJulia KempePublished in: CoRR (2024)
Keyphrases
- training algorithm
- neural network
- back propagation
- support vector machine
- training process
- artificial neural networks
- decision trees
- learning algorithm
- bayesian learning
- multi agent
- bayes optimal
- pattern recognition
- training data
- maximum likelihood
- feed forward
- bayesian networks
- fuzzy logic
- multilayer perceptron
- computational efficiency
- posterior distribution
- fuzzy systems
- bayesian decision
- recurrent neural networks
- data driven
- support vector
- multi layer
- neural nets
- self organizing maps
- activation function
- high robustness
- marginal likelihood
- model averaging
- machine learning