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Neural networks for safety-critical applications - Challenges, experiments and perspectives., , , , , , , and . DATE, page 1005-1006. IEEE, (2018)Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks., , , and . ICCV, page 4957-4965. IEEE, (2019)Tree Memory Networks for Sequence Processing., and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 431-443. Springer, (2019)Leveraging Semantic Embeddings for Safety-Critical Applications., , , and . CVPR Workshops, page 1389-1394. Computer Vision Foundation / IEEE, (2019)Graph Neural Networks for Modelling Traffic Participant Interaction., , , and . IV, page 695-701. IEEE, (2019)Edge Contraction Pooling for Graph Neural Networks.. CoRR, (2019)Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving., , , , , , , , , and . IV, page 1612-1619. IEEE, (2019)Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications., , , and . ITSC, page 3873-3878. IEEE, (2018)Deep neural networks for Markovian interactive scene prediction in highway scenarios., , , and . Intelligent Vehicles Symposium, page 685-692. IEEE, (2017)