research
∙
09/08/2022
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices
Adversarial Training (AT) has been proven to be an effective method of i...
share
research
∙
10/26/2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Federated learning (FL) is a popular distributed learning framework that...
research
∙
10/12/2020
Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper)
As machine learning becomes a more mainstream technology, the objective ...
research
∙
01/25/2020
