15 citations · 24 across the 3 of their papers we have counts for
3 papers
Stochastic Simulation Techniques for Inference and Sensitivity Analysis of Bayesian Attack Graphs
Isaac Matthews, Sadegh Soudjani, Aad van Moorsel
A vulnerability scan combined with information about a computer network can be used to create an attack graph, a model of how the elements of a network could be used in an attack t…
Cyclic Bayesian Attack Graphs: A Systematic Computational Approach
Isaac Matthews, John Mace, Sadegh Soudjani +1
Attack graphs are commonly used to analyse the security of medium-sized to large networks. Based on a scan of the network and likelihood information of vulnerabilities, attack grap…
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
Tom Ryder, Dennis Prangle, Andrew Golightly +1
Variational inference has had great success in scaling approximate Bayesian inference to big data by exploiting mini-batch training. To date, however, this strategy has been most a…