Work

Does Federated Learning Improve the Resiliency of Machine Learning Models Against Data Fault Attacks?

Year: 2025

Type: conference-paper

Source: International Conference on Intelligent Control and Information Processing

DOI: 10.1109/icicip64458.2025.10898123

Authors: Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ahmad Patooghy

Institution: North Carolina Agricultural and Technical State University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Office of the Under Secretary of Defense

OpenAlex ID: W4408100763

FWCI: 2.965

Cites: 43

Cited by: 3

Related to: 10