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DOI: 10.4121/774af81b-87e9-4c5f-88ea-9a57b070938a

Qiao, Yanqi (2025): Code for the research "FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/774af81b-87e9-4c5f-88ea-9a57b070938a.v1

Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

backdoor attack computer vision federated learning stealthiness

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Yanqi Qiao

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.

History

• 2025-05-19 first online, published, posted

Publisher

4TU.ResearchData

Format

script/.py

Associated peer-reviewed publication

FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Cybersecurity