Abstract. The paradigms of service-oriented computing and modeldriven development are becoming of increasing importance in the field of software engineering. According to these par...
Natallia Kokash, Christian Krause, Erik P. de Vink
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
Taolue Chen, Marta Z. Kwiatkowska, David Parker, A...
The Isomorphism of Polynomials (IP) is one of the most fundamental problems in multivariate public key cryptography (MPKC). In this paper, we introduce a new framework to study th...
Progress in networking research depends crucially on applying novel analysis tools to real-world traces of network activity. This often conflicts with privacy and security requir...