In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking technique uses the scores provided by the matcher to adapt a global distribution computed from an independent set of users, to the local specificities of the client being attacked. The proposed attack is evaluated on an ei...

For a given classification task, there are typically several learning algorithms available. The question then arises: which is the most appropriate algorithm to apply. We recently proposed a new algorithm for making such a selection based on landmarking a recent meta-learning strategy that utilises meta-features that are themselves efficient learning algorithms. This algorithm, which creates a ...

We describe a method for drawing graph-enhanced Euler diagrams using a three stage method. The first stage is to lay out the underlying Euler diagram using a multicriteria optimizing system. The second stage is to find suitable locations for nodes in the zones of the Euler diagram using a force based method. The third stage is to minimize edge crossings and total edge length by swapping the loc...