Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Countering Malicious DeepFakes: Survey, Battleground, and Horizon   The creation or manipulation of facial appearance through deep generative
approaches, known as DeepFake, have achieved significant progress and promoted
a wide range of benign and malicious applications, e.g., visual effect
assistance in movie and misinformation generation by faking famous persons. The
evil side of this new technique poses another popular study, i.e., DeepFake
detection aiming to identify the fake faces from the real ones. With the rapid
development of the DeepFake-related studies in the community, both sides have
formed the relationship of battleground, pushing the improvements of each other
and inspiring new directions, e.g., the evasion of DeepFake detection.
Nevertheless, the overview of such battleground and the new direction is
unclear and neglected by recent surveys due to the rapid increase of related
publications, limiting the in-depth understanding of the tendency and future
works. To fill this gap, in this paper, we provide a comprehensive overview and
detailed analysis of the research work on the topic of DeepFake generation,
DeepFake detection as well as evasion of DeepFake detection, with more than 318
research papers carefully surveyed. We present the taxonomy of various DeepFake
generation methods and the categorization of various DeepFake detection
methods, and more importantly, we showcase the battleground between the two
parties with detailed interactions between the adversaries (DeepFake
generation) and the defenders (DeepFake detection). The battleground allows
fresh perspective into the latest landscape of the DeepFake research and can
provide valuable analysis towards the research challenges and opportunities as
well as research trends and future directions. We also elaborately design
interactive diagrams (http://www.xujuefei.com/dfsurvey) to allow researchers to
explore their own interests on popular DeepFake generators or detectors.

35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas