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Robustness Verification of Deep Neural Networks Using Star-Based Reachability Analysis with Variable-Length Time Series Input.

, , and . FMICS, volume 14290 of Lecture Notes in Computer Science, page 170-188. Springer, (2023)

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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)Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control., , , , , and . ACM Trans. Embed. Comput. Syst., 18 (5s): 105:1-105:22 (2019)Reachability Analysis of a General Class of Neural Ordinary Differential Equations., , , and . FORMATS, volume 13465 of Lecture Notes in Computer Science, page 258-277. Springer, (2022)Verification of Closed-loop Systems with Neural Network Controllers., , , and . ARCH@CPSIoTWeek, volume 61 of EPiC Series in Computing, page 201-210. EasyChair, (2019)Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems., , , and . CoRR, (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)Empirical Analysis of Benchmark Generation for the Verification of Neural Network Image Classifiers., and . AISoLA, volume 14380 of Lecture Notes in Computer Science, page 331-347. Springer, (2023)Tutorial: Neural Network and Autonomous Cyber-Physical Systems Formal Verification for Trustworthy AI and Safe Autonomy., , and . EMSOFT, page 1-2. ACM / IEEE, (2023)