Code for the research "FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning"

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.