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Safe Robot Learning in Assistive Devices through Neural Network Repair.

, , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 2148-2158. PMLR, (2022)

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Gray-box adversarial testing for control systems with machine learning components., and . HSCC, page 179-184. ACM, (2019)Robustness of Specifications and Its Applications to Falsification, Parameter Mining, and Runtime Monitoring with S-TaLiRo., , and . RV, volume 11757 of Lecture Notes in Computer Science, page 27-47. Springer, (2019)Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components., , , and . Intelligent Vehicles Symposium, page 1555-1562. IEEE, (2018)DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems., , and . ICRA, page 11353-11360. IEEE, (2020)Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers: A Lagrange Multipliers Approach., and . ACM Trans. Embed. Comput. Syst., 18 (5s): 107:1-107:20 (2019)Automatic Parallelization of Multirate Block Diagrams of Control Systems on Multicore Platforms., , and . ACM Trans. Embed. Comput. Syst., 16 (1): 15:1-15:26 (2016)Automotive control design bug-finding with the S-TaLiRo tool.. ACC, page 4096. IEEE, (2015)Search Based Testing for Code Coverage and Falsification in Cyber-Physical Systems., , , and . CASE, page 1-8. IEEE, (2023)WiP abstract: Conformance testing as falsification for cyber-physical systems., , , , , and . ICCPS, page 211. IEEE Computer Society, (2014)Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System., and . CMSB, volume 7605 of Lecture Notes in Computer Science, page 322-341. Springer, (2012)