Current technologies are unable to produce massively deployable, fully
a...
Data sharing issues pervade online social and economic environments. To
...
Adversarial risk analysis (ARA) is a relatively new area of research tha...
Classification problems in security settings are usually modeled as
conf...
Adversarial Machine Learning (AML) is emerging as a major field aimed at...
Risk assessment is a major challenge for supply chain managers, as it
po...
Insider threats entail major security issues in geopolitics, cyber risk
...
Malware constitutes a major global risk affecting millions of users each...
We present a comprehensive robust decision support framework with novel
...
A framework to boost efficiency of Bayesian inference in probabilistic
p...
In several reinforcement learning (RL) scenarios such as security settin...
Stackelberg Games are gaining importance in the last years due to the ra...
Cyber threats affect all kinds of organisations. Risk analysis is an
ess...
We propose a unifying view of two different families of Bayesian inferen...
In several reinforcement learning (RL) scenarios, mainly in security
set...
Classification problems in security settings are usually contemplated as...
Real time large scale streaming data pose major challenges to forecastin...