The last decade has seen the rise of Adversarial Machine Learning (AML)....
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...
We present a comprehensive robust decision support framework with novel
...
In several reinforcement learning (RL) scenarios such as security settin...
Stackelberg Games are gaining importance in the last years due to the ra...
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...