Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model-Reference-Cited by-同舟云学术

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Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model

Published:2024-05-13 Issue: Volume:37 Page:1672-1680
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Cao Xi¹^ORCID,Qun Nuo¹^ORCID,Gesang Quzong¹^ORCID,Zhu Yulei²^ORCID,Nyima Trashi¹^ORCID

Affiliation:

1. School of Information Science and Technology, Tibet University & Collaborative Innovation Center for Tibet Informatization by MOE and Tibet Autonomous Region, Lhasa, Xizang, China

2. School of Information Science and Technology, Tibet University & Engineering Research Center of Tibetan Information Technology, Ministry of Education, Lhasa, Xizang, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3652503

Reference24 articles.

1. MiLMo:Minority Multilingual Pre-Trained Language Model

2. Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015. Explaining and Harnessing Adversarial Examples. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1412.6572

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