Federated Continual Learning with Differentially Private Data Sharing
- NeurIPS 2022
Giulio's research interests focus on the security and robustness of machine learning. Recently, he has been working on adversarial machine learning with a focus verifiable methods and the security of Federated Learning.
He obtained his PhD from Imperial College London in 2021 which focuses on adversarial and robust machine learning. He joined IBM Research in 2021 and has continued his research in private and robust ML and contributing to open source projects such as ART (Adversarial Robustness Toolbox) and various Horizon Europe programmes.