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Hard-label Black-box Universal Adversarial Patch Attack., , , , and . USENIX Security Symposium, page 697-714. USENIX Association, (2023)Code Search based on Context-aware Code Translation., , , , , and . ICSE, page 388-400. ACM, (2022)Piccolo: Exposing Complex Backdoors in NLP Transformer Models., , , , , and . SP, page 2025-2042. IEEE, (2022)ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP., , , , , , and . NeurIPS, (2023)OSPREY: Recovery of Variable and Data Structure via Probabilistic Analysis for Stripped Binary., , , , , , , and . SP, page 813-832. IEEE, (2021)Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples., , , and . NeurIPS, page 7728-7739. (2018)Backdoor Scanning for Deep Neural Networks through K-Arm Optimization., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9525-9536. PMLR, (2021)PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis., , , , , , , , and . USENIX Security Symposium, page 2365-2382. USENIX Association, (2023)ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation., , , , , , , , , and 1 other author(s). NDSS, The Internet Society, (2021)RULER: discriminative and iterative adversarial training for deep neural network fairness., , , , and . ESEC/SIGSOFT FSE, page 1173-1184. ACM, (2022)