Benchmarking Differentially Private Residual Networks for Medical Imagery

Code

• github.com/sahibsin/DP_DeepLearning_Pneumonia
  Officialpytorch★ 4

Abstract

In this paper we measure the effectiveness of -Differential Privacy (DP) when applied to medical imaging. We compare two robust differential privacy mechanisms: Local-DP and DP-SGD and benchmark their performance when analyzing medical imagery records. We analyze the trade-off between the model's accuracy and the level of privacy it guarantees, and also take a closer look to evaluate how useful these theoretical privacy guarantees actually prove to be in the real world medical setting.

Tasks

Reproductions