Comment.

The author offers a commentary on an article by Professors J. Duchi et al which developed packing arguments and perturbation mechanisms for differential privacy in the minimax framework for statistical estimation leading to a range of minimax optimal estimation rates. He discusses the prevalent models for designing differentially private algorithms, how minimax lower bounds are developed, and the attention received by the sequence of papers by the authors in the machine learning community.