RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias

Conference proceeding

Open access

Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu and Renjing Xu

34th British Machine Vision Conference, BMVC 2023

2023

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https://doi.org/10.48550/arXiv.2309.13245View

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Title: RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
Creators: Hao Cheng - The Hong Kong University of Science and Technology (Guangzhou)
Jinhao Duan - Drexel University, Philadelphia, United States
Hui Li - Samsung R&D Institute China Xi’an (SRCX), Xi’an, China
Jiahang Cao - The Hong Kong University of Science and Technology (Guangzhou)
Ping Wang - Xi'an Jiaotong University
Lyutianyang Zhang - University of Washington
Jize Zhang - The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Kaidi Xu - Drexel University, Philadelphia, United States
Renjing Xu - The Hong Kong University of Science and Technology (Guangzhou)
Publication Details: 34th British Machine Vision Conference, BMVC 2023
Resource Type: Conference proceeding
Language: English
Academic Unit: Computer Science
Scopus ID: 2-s2.0-105029452670
Other Identifier: 991022207056204721