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Gray-box adversarial testing for control systems with machine learning components.

, and . HSCC, page 179-184. ACM, (2019)

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Falsification of Temporal Logic Requirements Using Gradient Based Local Search in Space and Time., and . ADHS, volume 51 of IFAC-PapersOnLine, page 103-108. Elsevier, (2018)Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers: A Lagrange Multipliers Approach., and . ITA, page 1-20. IEEE, (2020)Hybrid approximate gradient and stochastic descent for falsification of nonlinear systems., and . ACC, page 529-534. IEEE, (2017)ARCH-COMP 2021 Category Report: Falsification with Validation of Results., , , , , , , , , and 8 other author(s). ARCH@ADHS, volume 80 of EPiC Series in Computing, page 133-152. EasyChair, (2021)Gray-box adversarial testing for control systems with machine learning components., and . HSCC, page 179-184. ACM, (2019)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)Encoding and monitoring responsibility sensitive safety rules for automated vehicles in signal temporal logic., , , , , , and . MEMOCODE, page 6:1-6:11. ACM, (2019)Functional gradient descent optimization for automatic test case generation for vehicle controllers., , , and . CASE, page 1059-1064. IEEE, (2017)Falsification of cyber-physical systems through multi-fidelity stochastic optimization., , , and . SNR, page 22-23. ACM, (2019)ARCH-COMP 2020 Category Report: Falsification., , , , , , , , , and 3 other author(s). ARCH, volume 74 of EPiC Series in Computing, page 140-152. EasyChair, (2020)