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Verifying Controllers Against Adversarial Examples with Bayesian Optimization.

, , , , and . ICRA, page 7306-7313. IEEE, (2018)

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Counterexample-Guided Synthesis of Perception Models and Control., , and . CoRR, (2019)Scenic: A Language for Scenario Specification and Data Generation., , , , , , and . CoRR, (2020)Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning., , , , and . ICRA, page 8550-8556. IEEE, (2019)Counterexample-Guided Data Augmentation., , , , , and . IJCAI, page 2071-2078. ijcai.org, (2018)A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets., , , , and . IEEE Trans. Autom. Control., 69 (2): 1097-1103 (February 2024)Time-Series Learning Using Monotonic Logical Properties., , , , and . RV, volume 11237 of Lecture Notes in Computer Science, page 389-405. Springer, (2018)A new simulation metric to determine safe environments and controllers for systems with unknown dynamics., , , , and . HSCC, page 185-196. ACM, (2019)Generating Dominant Strategies for Continuous Two-Player Zero-Sum Games., , , , and . ADHS, volume 51 of IFAC-PapersOnLine, page 7-12. Elsevier, (2018)A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets., , , and . CoRR, (2018)A Formalization of Robustness for Deep Neural Networks., , , and . CoRR, (2019)