Secure computation enables mutually suspicious parties to compute a joint function of their private inputs while providing strong security guarantees. Amongst other things, even i...
In many important applications, a collection of mutually distrustful parties must perform private computation over multisets. Each party’s input to the function is his private i...
Ontology-Driven Software Development (ODSD) advocates using ontologies for capturing knowledge about a software system at development time. So far, ODSD approaches have mainly focu...
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...