Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Grey-box Adversarial Attack And Defence For Sentiment Classification   We introduce a grey-box adversarial attack and defence framework for
sentiment classification. We address the issues of differentiability, label
preservation and input reconstruction for adversarial attack and defence in one
unified framework. Our results show that once trained, the attacking model is
capable of generating high-quality adversarial examples substantially faster
(one order of magnitude less in time) than state-of-the-art attacking methods.
These examples also preserve the original sentiment according to human
evaluation. Additionally, our framework produces an improved classifier that is
robust in defending against multiple adversarial attacking methods. Code is
available at: https://github.com/ibm-aur-nlp/adv-def-text-dist.

8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys