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A Markovian Error Model for False Negatives in DNN-based Perception-Driven Control Systems.

, , , and . INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 549-560. Elsevier, (2023)

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Improved Geometric Path Enumeration for Verifying ReLU Neural Networks., , , and . CAV (1), volume 12224 of Lecture Notes in Computer Science, page 66-96. Springer, (2020)Neural Network Repair with Reachability Analysis., , , , , and . CoRR, (2021)Neural Network Compression of ACAS Xu is Unsafe: Closed-Loop Verification through Quantized State Backreachability., and . CoRR, (2022)Guaranteed cost static output feedback for networked control systems., , and . ICARCV, page 1267-1272. IEEE, (2014)Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach., , , and . CoRR, (2020)Output Reachable Set Estimation and Verification for Multilayer Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (11): 5777-5783 (2018)Parallelizable reachability analysis algorithms for feed-forward neural networks., , , , , , and . FormaliSE@ICSE, page 31-40. IEEE / ACM, (2019)Star-Based Reachability Analysis of Deep Neural Networks., , , , , , and . FM, volume 11800 of Lecture Notes in Computer Science, page 670-686. Springer, (2019)NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems., , , , , , , and . CAV (1), volume 12224 of Lecture Notes in Computer Science, page 3-17. Springer, (2020)On reachable set estimation for discrete-time switched linear systems under arbitrary switching., , and . ACC, page 4534-4539. IEEE, (2017)