Work

Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification

Year: 2025

Type: article

Source: IEEE Transactions on Information Forensics and Security

DOI: 10.1109/tifs.2025.3583876

Authors: Yu-Xin Zhang, Jie Gui, Minjing Dong, Xiaofeng Cong, Yu Cao, Xin Gong, Yuan Yan Tang, James Tin-Yau Kwok

Institutions: Southeast University, City University of Hong Kong, University of Macau, Hong Kong University of Science and Technology

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Startup Research Fund of Zhengzhou University

Awards: G3070022028, G4791866362

OpenAlex ID: W4411726224

FWCI: 2.054

Cites: 72

Cited by: 5

Related to: 10