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nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving Systems., , and . ICCAD, page 1-6. ACM, (2019)Verification of Binarized Neural Networks via Inter-Neuron Factoring, , , and . (2017)cite arxiv:1710.03107Comment: Version 2: add proofs for hardness of PTAS approximability, remove experiments on randomized examples and some not-so-important optimizations.Safety-Aware Hardening of 3D Object Detection Neural Network Systems.. SAFECOMP, volume 12234 of Lecture Notes in Computer Science, page 213-227. Springer, (2020)Robustness Verification for Attention Networks using Mixed Integer Programming., , , and . CoRR, (2022)Facilitating Change Implementation for Continuous ML-Safety Assurance., , , , , , , , , and 2 other author(s). CoRR, (2022)Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models?, , and . Tiny Papers @ ICLR, OpenReview.net, (2023)Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection., , and . DATE, page 1-6. IEEE, (2023)Provably-Robust Runtime Monitoring of Neuron Activation Patterns.. DATE, page 1310-1313. IEEE, (2021)Safety Metrics for Semantic Segmentation in Autonomous Driving., , and . AITest, page 57-64. IEEE, (2021)BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection., , , , and . CoRR, (2024)