Xin Liu*, Xiao Chen
Journal of Information Hiding and Privacy Protection, Vol.2, No.2, pp. 87-94, 2020, DOI:10.32604/jihpp.2020.09839
Abstract In recent years, with the rapid growth of generative adversarial
networks (GANs), a photo-realistic face can be easily generated from a random
vector. Moreover, the faces generated by advanced GANs are very realistic. It is
reasonable to acknowledge that even a well-trained viewer has difficulties to
distinguish artificial from real faces. Therefore, detecting the face generated by
GANs is a necessary work. This paper mainly introduces some methods to detect
GAN-generated fake faces, and analyzes the advantages and disadvantages of
these models based on the network structure and evaluation indexes, and the
results obtained in the respective data sets. On… More >
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