2021
DOI: 10.1155/2021/9982351
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Abstract: In the intelligent era of human-computer symbiosis, the use of machine learning method for covert communication confrontation has become a hot topic of network security. The existing covert communication technology focuses on the statistical abnormality of traffic behavior and does not consider the sensory abnormality of security censors, so it faces the core problem of lack of cognitive ability. In order to further improve the concealment of communication, a game method of “cognitive deception” is proposed, w… Show more

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Cited by 1 publication
(1 citation statement)
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“…Later, GeneGAN solved this problem by training latent feature blocks with paired images possessing adverse attributes, but the disadvantage of only one attribute being able to be exchanged is inconvenient for users expecting to achieve multiattributes transfer. DnaGAN [2,[32][33][34][35][36], ELEGANT [3] adopted iterative training strategy to realize the multiattribute disentangled representation but it demonstrated undesirable transferred and reconstructed efects with huge transformation of nonediting facial information and style deviation of target attribute as shown in Figure 3(a). Subsequently, the traditional image translation [4,19,20,25,26,[37][38][39] methods were created, but they often lead to some unnecessary outcomes, such as age, background changes, and so on.…”
Section: Facial Attribute Transfermentioning
confidence: 99%
“…Later, GeneGAN solved this problem by training latent feature blocks with paired images possessing adverse attributes, but the disadvantage of only one attribute being able to be exchanged is inconvenient for users expecting to achieve multiattributes transfer. DnaGAN [2,[32][33][34][35][36], ELEGANT [3] adopted iterative training strategy to realize the multiattribute disentangled representation but it demonstrated undesirable transferred and reconstructed efects with huge transformation of nonediting facial information and style deviation of target attribute as shown in Figure 3(a). Subsequently, the traditional image translation [4,19,20,25,26,[37][38][39] methods were created, but they often lead to some unnecessary outcomes, such as age, background changes, and so on.…”
Section: Facial Attribute Transfermentioning
confidence: 99%