Skip to content

Latest commit

 

History

History
6 lines (3 loc) · 447 Bytes

README.md

File metadata and controls

6 lines (3 loc) · 447 Bytes

FedDefender: Backdoor Attack Defense in Federated Learning (Tutorial)

This tutorial is based on a paper accepted at SE4SafeML: Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components (Colocated with FSE 2023). The ArXiv version of the manuscript is available here.

For any questions regarding FedDefender's artifact, please direct them to Waris Gill at waris@vt.edu.