Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fooling OCR Systems with Adversarial Text Images   We demonstrate that state-of-the-art optical character recognition (OCR)
based on deep learning is vulnerable to adversarial images. Minor modifications
to images of printed text, which do not change the meaning of the text to a
human reader, cause the OCR system to "recognize" a different text where
certain words chosen by the adversary are replaced by their semantic opposites.
This completely changes the meaning of the output produced by the OCR system
and by the NLP applications that use OCR for preprocessing their inputs.

26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom