Work

RoPe-Door: Toward Robust and Persistent Backdoor Data Poisoning Attacks in Federated Learning

Year: 2024

Type: article

Source: IEEE Network

DOI: 10.1109/mnet.2024.3486228

Authors: Ye Liu, Shan Chang, Denghui Li, Shaohuai Shi, Bo Li

Institutions: Jiangxi Normal University, Donghua University, Harbin Institute of Technology, 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: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G2012432619, G3959017908, G5755790342

OpenAlex ID: W4403759007

FWCI: 1.035

Cites: 15

Cited by: 7

Related to: 10