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 research uses textual data, with all data (i.e., source code) being independently developed.</p>"
authors:
  - family-names: Qiao
    given-names: Yanqi
    orcid: "https://orcid.org/0000-0003-0180-0096"
title: "Code for the research &#34;FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/774af81b-87e9-4c5f-88ea-9a57b070938a.v1
license: MIT
date-released: 2025-05-19