目录与链接

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[302] M. Alzantot, Y. Sharma, A. Elgohary, B.-J. Ho, M. Srivastava, and K.-W. Chang, "Generating natural language adversarial examples," in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium: Association for Computational Linguistics, Oct.-Nov. 2018, pp. 2890–2896. [Online]. Available: aclanthology.org/D18-1316

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[304] J. Ebrahimi, A. Rao, D. Lowd, and D. Dou, "Hotflip: White-box adversarial examples for text classification," 2017. [Online]. Available: arxiv.org/abs/1712.06…

[305] M. Ye, C. Gong, and Q. Liu, "Safer: A structure-free approach for certified robustness to adversarial word substitutions," 2020. [Online]. Available: arxiv.org/abs/2005.14…

[306] M. Mozes, M. Bartolo, P. Stenetorp, B. Kleinberg, and L. D. Griffin, "Contrasting human- and machine-generated word-level adversarial examplesfor text classification," in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, M. Moens, X. Huang, L. Specia, and S. W. Yih, Eds. Association for Computational Linguistics, 2021, pp. 8258–8270. [Online]. Available: doi.org/10.18653/v1…

[307] H. Zhao, C. Ma, X. Dong, A. T. Luu, Z.-H. Deng, and H. Zhang, "Certified robustness against natural language attacks by causal intervention," arXiv preprint arXiv:2205.12331, 2022.

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[309] A. Feder, N. Oved, U. Shalit, and R. Reichart, "Causalm: Causal model explanation through counterfactual language models," Comput. Linguistics, vol. 47, no. 2, pp. 333–386, 2021. [Online]. Available: doi.org/10.1162/col…

[310] M. De-Arteaga, A. Romanov, H. Wallach, J. Chayes, C. Borgs, A. Chouldechova, S. Geyik, K. Kenthapadi, and A. T. Kalai, "Bias in bios: A case study of semantic representation bias in a high-stakes setting," in Proceedings of the Conference on Fairness, Accountability, and Transparency, ser. FAT* '19. New York, NY, USA: Association for Computing Machinery, 2019, p. 120–128. [Online]. Available: doi.org/10.1145/328…

[311] J. Vig, S. Gehrmann, Y. Belinkov, S. Qian, D. Nevo, Y. Singer, and S. M. Shieber, "Investigating gender bias in language models using causal mediation analysis," in Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin, Eds., 2020. [Online]. Available: proceedings.neurips.cc/paper/2020/…

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因果机器学习调研综述(引用下)

目录与链接