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 More >
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