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OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift., , , and . CoRR, (2023)REAP: A Large-Scale Realistic Adversarial Patch Benchmark., , , and . ICCV, page 4617-4628. IEEE, (2023)Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 32008-32032. PMLR, (2023)Analyzing the Robustness of Open-World Machine Learning., , , , , , and . AISec@CCS, page 105-116. ACM, (2019)PAL: Proxy-Guided Black-Box Attack on Large Language Models., , , and . CoRR, (2024)Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars., , , , , and . CoRR, (2017)Enhancing robustness of machine learning systems via data transformations., , , and . CISS, page 1-5. IEEE, (2018)On the Robustness of Deep K-Nearest Neighbors., and . IEEE Symposium on Security and Privacy Workshops, page 1-7. IEEE, (2019)Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples., , , , , , and . CoRR, (2019)DARTS: Deceiving Autonomous Cars with Toxic Signs., , , , and . CoRR, (2018)