Work

Universal Adversarial Attack for Sybil Detection System

Year: 2024

Type: conference-paper

Source: IEEE Conference on Communications and Network Security

DOI: 10.1109/cns62487.2024.10735590

Authors: Xin Yao, Kecheng Huang, Ting Yao

Institutions: Central South University, Hunan University of Technology and Business

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, Natural Science Foundation of Hunan Province

OpenAlex ID: W4403937396

FWCI:

Cites: 34

Cited by:

Related to: 10