Abstract. We study the link between formal and cryptographic models for security protocols in the presence of passive and adaptive adversaries. We first describe the seminal resul...
We seek to construct autonomous adaptive survivable systems that use active trust management to adapt their own behavior in the face of compromises in the computational environment...
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...