Description
Book Synopsis.- Invited Paper.
.- Distributed Runtime Verification with Imperfect Monitors: Challenges and Opportunities.
.- Cyber-physical Systems.
.- A Formal Approach for Safe Reinforcement Learning: A Rate-Adaptive Pacemaker Case Study.
.- Stream-based Monitoring under Measurement Noise.
.- Dynamic, Multi-Objective Specification and Falsification of Autonomous CPS.
.- Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption.
.- Sampling-based and Gradient-based Efficient Scenario Generation.
.- HyperPart-X: Probabilistic Guarantees for Parameter Mining of Signal Temporal Logic Formulas in Cyber-Physical Systems.
.- Temporal Logics.
.- faRM-LTL: A Domain-Specific Architecture for Flexible and Accelerated Runtime Monitoring of LTL Properties.
.- Efficient Online Monitoring for Dynamic Metric Temporal Logic.
.- TimelyMon: A Streaming Parallel First-Order Monitor.
.- Specification and Visualization.
.- Adding State to Stream Runtime Verification.
.- The Complexity of Data-Free Nfer.
.- RTLolaMo3Vis - A Mobile and Modular Visualization Framework for Online Monitoring.
.- Deep Neural Networks.
.- Case Study: Runtime Safety Verification of Neural Network Controlled System.
.- Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces.
.- Box-based Monitor Approach for Out-of-Distribution Detection in YOLO: An Exploratory Study.
.- Distributed Systems.
.- Distributed Monitoring of Timed Properties.
.- Towards Efficient Runtime Veri ed Linearizable Algorithms.
.- Approximate Distributed Monitoring under Partial Synchrony: Balancing Speed and Accuracy.
