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Robust Decision Trees Against Adversarial Examples., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1122-1131. PMLR, (2019)Multi-Stage Influence Function., , , , , , and . NeurIPS, (2020)Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning., , , , and . CoRR, (2017)Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving., , , , , , , , and . CoRR, (2024)Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving., , , , , , , , , and 7 other author(s). IROS, page 8652-8659. IEEE, (2022)Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations., , , , , , and . NeurIPS, (2020)Towards Stable and Efficient Training of Verifiably Robust Neural Networks., , , , , , , and . ICLR, OpenReview.net, (2020)SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors., , , , , , and . ICCV, page 8459-8469. IEEE, (2023)Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models., , , , , and . ECCV (12), volume 11216 of Lecture Notes in Computer Science, page 644-661. Springer, (2018)Towards Stable and Efficient Training of Verifiably Robust Neural Networks., , , , , and . CoRR, (2019)