9 papers
Towards Rigorous Design of OoD Detectors
Chih-Hong Cheng, Changshun Wu, Harald Ruess +1
Out-of-distribution (OoD) detection techniques are instrumental for safety-related neural networks. We are arguing, however, that current performance-oriented OoD detection techniq…
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation
Chih-Hong Cheng, Changshun Wu, Emmanouil Seferis +1
For safety assurance of deep neural networks (DNNs), out-of-distribution (OoD) monitoring techniques are essential as they filter spurious input that is distant from the training d…
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes
Changshun Wu, Yliès Falcone, Saddek Bensalem
Classification neural networks fail to detect inputs that do not fall inside the classes they have been trained for. Runtime monitoring techniques on the neuron activation pattern…
Institution-based Encoding and Verification of Simple UML State Machines in CASL/SPASS
Tobias Rosenberger, Saddek Bensalem, Alexander Knapp +1
This paper provides the first correct semantical representation of UML state-machines within the logical framework of an institution (previous attempts were flawed). A novel encodi…
Performance Evaluation of the NDN Data Plane Using Statistical Model Checking
Siham Khoussi, Ayoub Nouri, Junxiao Shi +4
Named Data Networking (NDN) is an emerging technology for a future internet architecture that addresses weaknesses of the Internet Protocol (IP). Since Internet users and applicati…
Proceedings of the 1st International Workshop on Methods and Tools for Rigorous System Design
Simon Bliudze, Saddek Bensalem
This volume contains the proceedings of the 1st International Workshop on Methods and Tools for Rigorous System Design (MeTRiD 2018), held on the 15th of April, 2018 in Thessalonik…