Deep learning system (DLS) always require a time-consuming process because of too many
hyperparameters and complex structure. When we update some data in DLS, a complete …

… These fake faces can be used to conduct personation attacks … fake videos of a particular
target subject in a number of ways. In this article, we evaluate the generalizability of the fake face …

… Consumers could use this technology to try on a broad range of products such as cosmetics
… behaviors of real and fake faces from deep face recognition systems (ie, VGG-Face [63], …

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured …
In this paper, we present a novel software-based fake detection method that can be used in …

… constructed a series of fake clusters using labeled faces from FG-… Many strong face recognition
results have been achieved … In this paper we have presented a new broad face data set …

… face images. This comprehensive review precisely traces the historical trajectory of deep
fake faces, … are trained on a broad spectrum of potential deep fake instances, fortifying their …

… have led to the generation of extremely realistic fake facial content, raising obvious concerns
… remove GAN “fingerprints” from synthetic fake images based on autoencoders is described, …

… four face recognition algorithms with face images covered by both superimposed and real
face … All four algorithms that we tested are DCNNs that make image computations in a broadly …

… for face recognition: Multiple exposures to a familiar face allow our perceptual systems to
separate transient within-person differences from the stable characteristics of that face. … broader …

… We present a novel signal for identifying fake images based on comparing the inner face …
Overcoming this approach would require a much broader integration of the new identity into the …