Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on
  Adversarial Machine Learning   Deep neural networks (DNN)-based machine learning (ML) algorithms have
recently emerged as the leading ML paradigm particularly for the task of
classification due to their superior capability of learning efficiently from
large datasets. The discovery of a number of well-known attacks such as dataset
poisoning, adversarial examples, and network manipulation (through the addition
of malicious nodes) has, however, put the spotlight squarely on the lack of
security in DNN-based ML systems. In particular, malicious actors can use these
well-known attacks to cause random/targeted misclassification, or cause a
change in the prediction confidence, by only slightly but systematically
manipulating the environmental parameters, inference data, or the data
acquisition block. Most of the prior adversarial attacks have, however, not
accounted for the pre-processing noise filters commonly integrated with the
ML-inference module. Our contribution in this work is to show that this is a
major omission since these noise filters can render ineffective the majority of
the existing attacks, which rely essentially on introducing adversarial noise.
Apart from this, we also extend the state of the art by proposing a novel
pre-processing noise Filter-aware Adversarial ML attack called FAdeML. To
demonstrate the effectiveness of the proposed methodology, we generate an
adversarial attack image by exploiting the "VGGNet" DNN trained for the "German
Traffic Sign Recognition Benchmarks (GTSRB" dataset, which despite having no
visual noise, can cause a classifier to misclassify even in the presence of
pre-processing noise filters.

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The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio