Work

Boosting Transferability of Adversarial Examples by Joint Training and Dual Feature Mixup

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI: 10.1109/trustcom63139.2024.00124

Authors: Mengmeng Tang, Shuhong Chen, Guojun Wang, Hanjun Li, Zhuyi Yao, Sheng Wen

Institutions: Guangzhou University, Swinburne University of Technology

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4409156331

FWCI:

Cites: 36

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Related to: 10