cff-version: 1.2.0
abstract: "<p>This research aims to investigate the vulnerabilities of existing federated learning frameworks against backdoor attacks and to develop a novel backdooring approach. The study focuses on advancing a new technology in this area. The data is produced by the research program, with all data being collected by scripts.</p>"
authors:
  - family-names: Qiao
    given-names: Yanqi
    orcid: "https://orcid.org/0000-0003-0180-0096"
title: "Experimental results for the publication &#34;Stealthy Backdoor Attack against Federated Learning through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/d671980c-4b9f-4f4c-bd95-3120d694990a.v1
license: MIT
date-released: 2025-05-19