Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Architecture Matters: Investigating the Influence of Differential
  Privacy on Neural Network Design   One barrier to more widespread adoption of differentially private neural
networks is the entailed accuracy loss. To address this issue, the relationship
between neural network architectures and model accuracy under differential
privacy constraints needs to be better understood. As a first step, we test
whether extant knowledge on architecture design also holds in the
differentially private setting. Our findings show that it does not;
architectures that perform well without differential privacy, do not
necessarily do so with differential privacy. Consequently, extant knowledge on
neural network architecture design cannot be seamlessly translated into the
differential privacy context. Future research is required to better understand
the relationship between neural network architectures and model accuracy to
enable better architecture design choices under differential privacy
constraints.

29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat