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Adversarial Example Generation Algorithm Based on Transformer and GAN

Adversarial attack and defense is a popular research area in computer security. Trans-GAN, an adversarial example generation algorithm based on the combination of Transformer and Generate Adversarial Network(GAN), is proposed to address the problems of the poor visual quality of existing gradient-ba...

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Auteur principal: Shuaiwei LIU, Zhi LI, Guomei WANG, Li ZHANG
Format: Artigo
Langue:Inglês
Publié: Editorial Office of Computer Engineering 2024-02-01
Collection:Jisuanji gongcheng
Sujets:
deep neural network|adversarial example|adversarial attack|transformer model|generate adversarial network(gan)|attention mechanism
Accès en ligne:https://www.ecice06.com/fileup/1000-3428/PDF/20240219.pdf
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