Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack
  Detection   A face morphing attack image can be verified to multiple identities, making
this attack a major vulnerability to processes based on identity verification,
such as border checks. Various methods have been proposed to detect face
morphing attacks, however, with low generalizability to unexpected
post-morphing processes. A major post-morphing process is the print and scan
operation performed in many countries when issuing a passport or identity
document. In this work, we address this generalization problem by adapting a
pixel-wise supervision approach where we train a network to classify each pixel
of the image into an attack or not, rather than only having one label for the
whole image. Our pixel-wise morphing attack detection (PW-MAD) solution proved
to perform more accurately than a set of established baselines. More
importantly, PW-MAD shows high generalizability in comparison to related works,
when evaluated on unknown re-digitized attacks. Additionally to our PW-MAD
approach, we create a new face morphing attack dataset with digital and
re-digitized samples, namely the LMA-DRD dataset that is publicly available for
research purposes upon request.

21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an