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Anomalous Example Detection in Deep Learning: A Survey., , , , and . IEEE Access, (2020)Identifying and Mitigating the Security Risks of Generative AI., , , , , , , , , and 13 other author(s). CoRR, (2023)Spatially Transformed Adversarial Examples., , , , , and . ICLR (Poster), OpenReview.net, (2018)Towards Synthesizing Complex Programs From Input-Output Examples., , and . ICLR (Poster), OpenReview.net, (2018)Curriculum Adversarial Training., , and . IJCAI, page 3740-3747. ijcai.org, (2018)Generating Adversarial Examples with Adversarial Networks., , , , , and . IJCAI, page 3905-3911. ijcai.org, (2018)Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality., , , , , , , , and . ICLR, OpenReview.net, (2018)Automatic protocol reverse-engineering: Message format extraction and field semantics inference., and . Comput. Networks, 57 (2): 451-474 (2013)Cross-Origin JavaScript Capability Leaks: Detection, Exploitation, and Defense., , and . USENIX Security Symposium, page 187-198. USENIX Association, (2009)Distributed Private Data Analysis: Lower Bounds and Practical Constructions., , , and . ACM Trans. Algorithms, 13 (4): 50:1-50:38 (2017)