Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing Fault Tolerance of Neural Networks for Security-Critical
  Applications   Neural Networks (NN) have recently emerged as backbone of several sensitive
applications like automobile, medical image, security, etc. NNs inherently
offer Partial Fault Tolerance (PFT) in their architecture; however, the biased
PFT of NNs can lead to severe consequences in applications like cryptography
and security critical scenarios. In this paper, we propose a revised
implementation which enhances the PFT property of NN significantly with
detailed mathematical analysis. We evaluated the performance of revised NN
considering both software and FPGA implementation for a cryptographic primitive
like AES SBox. The results show that the PFT of NNs can be significantly
increased with the proposed methodology.

3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat