Andreas Trügler

Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey

2023 · arXiv (Cornell University)

Differential Privacy has become a widely popular method for data protection in machine learning, especially since it allows formulating strict mathematical privacy guarantees. This survey provides an overview of the state-of-the-art of differentially private centralized …