How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, H. Brendan McMahan, Alexey Kurakin, Chiyaun Zhang · 2023
Machine Learning (ML) models are ubiquitous in real world applications and are a constant focus of research. At the same time, the community has started to realize the importance of protecting the privacy of models' training data.