Work

ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model

Year: 2022

Type: conference-paper

Abstract: Chuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2022.naacl-main.125

Authors: Chuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun

Institutions: Tsinghua University, Indiana University, Beijing National Research Center for Information Science and Technology

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Awards: G1591982400, G6645987955, G6854417668

OpenAlex ID: W4287890936

FWCI: 0.26

Cites: 32

Cited by: 2

Related to: 10