Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Benchmarking Differentially Private Residual Networks for Medical
  Imagery   In this paper we measure the effectiveness of $\epsilon$-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.

4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph