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Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics.

, , , , , , , and . CoRR, (2020)

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Testing Deep Neural Networks., , and . CoRR, (2018)Explaining Image Classifiers Using Statistical Fault Localization., , , and . ECCV (28), volume 12373 of Lecture Notes in Computer Science, page 391-406. Springer, (2020)Safety Analysis of Autonomous Driving Systems Based on Model Learning., , , , , and . CoRR, (2022)Tutorials on Testing Neural Networks., , , , , and . CoRR, (2021)Rule-Based Runtime Mitigation Against Poison Attacks on Neural Networks., , , and . RV, volume 13498 of Lecture Notes in Computer Science, page 67-84. Springer, (2022)Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models., , , , , , , , and . SP, page 824-841. IEEE, (2022)RobOT: Robustness-Oriented Testing for Deep Learning Systems., , , , , , and . ICSE, page 300-311. IEEE, (2021)Does Knowledge Graph Really Matter for Recommender Systems?, , , , , , and . CoRR, (2024)Building Better Bit-Blasting for Floating-Point Problems., , and . TACAS (1), volume 11427 of Lecture Notes in Computer Science, page 79-98. Springer, (2019)A pre-order relation for exact schedulability test of sporadic tasks on multiprocessor Global Fixed-Priority scheduling., and . Real Time Syst., 52 (3): 323-355 (2016)