Work

Stealthiness Assessment of Adversarial Perturbation: From a Visual Perspective

Year: 2024

Type: article

Source: IEEE Transactions on Information Forensics and Security

DOI: 10.1109/tifs.2024.3520016

Authors: Hangcheng Liu, Yuan Zhou, Ying Yang, Qingchuan Zhao, Tianwei Zhang, Tao Xiang

Institutions: Nanyang Technological University, Zhejiang Sci-Tech University, Zhejiang University of Science and Technology, Agency for Science, Technology and Research, Institute of High Performance Computing, City University of Hong Kong, Chongqing University

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

Awards: G1546930127, G724036087

OpenAlex ID: W4405521688

FWCI: 0.737

Cites: 88

Cited by: 5

Related to: 10