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ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants.

, , , , , , , , , and . ARCH@ADHS, volume 80 of EPiC Series in Computing, page 90-119. EasyChair, (2021)

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VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems., , , , , , and . CoRR, (2020)ModelGuard: Runtime Validation of Lipschitz-continuous Models., , , and . ADHS, volume 54 of IFAC-PapersOnLine, page 37-42. Elsevier, (2021)Confidence Composition for Monitors of Verification Assumptions., , , , , , and . ICCPS, page 1-12. IEEE, (2022)Cognitively-Inspired Computational Context., and . AAAI Spring Symposia, AAAI Press, (2017)Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning., , , , , and . CAV (1), volume 12759 of Lecture Notes in Computer Science, page 249-262. Springer, (2021)Using context and robot-human communication to resolve unexpected situational conflicts., and . CogSIMA, page 1-7. IEEE, (2017)ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants., , , , , , and . ARCH@CPSIoTWeek, volume 61 of EPiC Series in Computing, page 103-119. EasyChair, (2019)ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants., , , , , , , , , and . ARCH@ADHS, volume 80 of EPiC Series in Computing, page 90-119. EasyChair, (2021)Case study: verifying the safety of an autonomous racing car with a neural network controller., , , , , and . HSCC, page 28:1-28:7. ACM, (2020)Real-time detectors for digital and physical adversarial inputs to perception systems., , , , , and . ICCPS, page 67-76. ACM, (2021)