Work

SecFFT: Safeguarding Federated Fine-Tuning for Large Vision Language Models Against Covert Backdoor Attacks in IoRT Networks

Year: 2024

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2024.3510695

Authors: Zan Zhou, Changqiao Xu, Bo Wang, Tengfei Li, Sizhe Huang, Shujie Yang, Su Yao

Institutions: Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University

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, China Postdoctoral Science Foundation, Beijing Postdoctoral Science Foundation, Beijing National Research Center For Information Science And Technology, Beijing Municipal Natural Science Foundation, Postdoctoral Research Foundation of China

Awards: G1500389892, G2593363103, G3022012397, 基于区块链的物联网安全技术研究, G3564288279, G4818684285, G5612557256, G5692104327, G5694039728, G7033924410, G7155321176, G7488493096, G7705936506

OpenAlex ID: W4405022286

FWCI: 1.479

Cites: 49

Cited by: 10

Related to: 10