13 citations · 31 across the 12 of their papers we have counts for
8 papers · 1 filter
Statistical Verification of Quantitative Hyperproperties: Beyond Boolean Quantification
Amir M. Ahmadian, Hazem Torfah
Formalisms for hyperproperties provide a solid foundation for studying the verification problem across classes of relational properties, such as those in information flow control (…
Learning Robust Markov Models for Safe Runtime Monitoring
Antonina Skurka, Luko van der Maas, Sebastian Junges +1
We present a model-based approach to learning robust runtime monitors for autonomous systems. Runtime monitors play a crucial role in raising the level of assurance by observing sy…
Runtime Monitoring for Markov Decision Processes
Sebastian Junges, Hazem Torfah, Sanjit A. Seshia
We investigate the problem of monitoring partially observable systems with nondeterministic and probabilistic dynamics. In such systems, every state may be associated with a risk,…
Synthesizing Approximate Implementations for Unrealizable Specifications
Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah
The unrealizability of a specification is often due to the assumption that the behavior of the environment is unrestricted. In this paper, we present algorithms for synthesis in bo…
Explainable Reactive Synthesis
Tom Baumeister, Bernd Finkbeiner, Hazem Torfah
Reactive synthesis transforms a specification of a reactive system, given in a temporal logic, into an implementation. The main advantage of synthesis is that it is automatic. The…
Probabilistic Hyperproperties of Markov Decision Processes
Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah
Hyperproperties are properties that describe the correctness of a system as a relation between multiple executions. Hyperproperties generalize trace properties and include informat…