Organizations undertake complex and costly projects to model high-quality Access Control
Policies (ACPs). Once built, these policies must be maintained and managed in an ongoing …

The quality of robot-assisted surgery can be improved and the use of hospital resources can
be optimized by enhancing autonomy and reliability in the robot's operation. Logic …

Artificial Intelligence is rapidly enhancing human capability by providing support and
guidance on a wide variety of tasks. However, one of the main challenges for autonomous …

Machine Learning in coalition settings requires combining insights available from data
assets and knowledge repositories distributed across multiple coalition partners. In tactical …

ILASP (Inductive Learning of Answer Set Programs) is a logic-based machine learning
system. It makes use of existing knowledge base, containing anything known before the …

Access control has become ubiquitous in contemporary computer systems but creating
policies is an costly and errorprone task, thus it is desirable to automize it. Machine learning …

Policy based Security Management in an accepted practice in the industry, and required to
simplify the administrative overhead associated with security management in complex …

When training data for machine learning is obtained from many different sources, not all of
which may be trusted, it is difficult to determine which training data to accept and which to …

In order to create AI/ML based solutions that will be trusted during production, issues that
hamper usage of AI models in practical solutions needs to be addressed. Despite a …

Generative policies have recently been researched to provide a method for next generation
security policies. They are created using either traditional machine learning techniques or …