KDD2023

How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy

Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang

被引用 12 次

摘要

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.