This paper introduces a new abstraction to accelerate the readbarriers and write-barriers used by language runtime systems. We exploit the fact that, dynamically, many barrier exe...
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Abstract— Black Hole Attacks are a serious threat to communication in tactical MANETs. In this work we present TOGBAD a new centralised approach, using topology graphs to identif...
Elmar Gerhards-Padilla, Nils Aschenbruck, Peter Ma...
— Induction has been studied in model checking for proving the validity of safety properties, i.e., showing the absence of counterexamples. To our knowledge, induction has not be...
Abstraction is the key for effectively dealing with the state explosion in model-checking. Unfortunately, finding abstractions which are small and yet enable us to get conclusive ...