Zhen Yu, Zhenhua Chen, Kun He 0001. Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. In Kevin Duh, Helena Gómez-Adorno, Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. pages 556-569, Association for Computational Linguistics, 2024. [doi]
@inproceedings{YuC024,
title = {Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks},
author = {Zhen Yu and Zhenhua Chen and Kun He 0001},
year = {2024},
doi = {10.18653/v1/2024.naacl-long.31},
url = {https://doi.org/10.18653/v1/2024.naacl-long.31},
researchr = {https://researchr.org/publication/YuC024},
cites = {0},
citedby = {0},
pages = {556-569},
booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024},
editor = {Kevin Duh and Helena Gómez-Adorno and Steven Bethard},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-114-8},
}