Generative Adversarial Networks: A Survey on Attack and Defense Perspective

Generative Adversarial Networks (GANs) are a remarkable creation with regard to deep generative models. Thanks to their ability to learn from complex data distributions, GANs have been credited with the capacity to generate plausible data examples, which have been widely applied to various data gene...

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Veröffentlicht in:	ACM computing surveys 2024-04, Vol.56 (4), p.1-35, Article 91
Hauptverfasser:	Zhang, Chenhan, Yu, Shui, Tian, Zhiyi, Yu, James J. Q.
Format:	Artikel
Sprache:	eng
Schlagworte:	Audio data Computer science Computing methodologies Distributed computing methodologies General and reference Generative adversarial networks Machine learning Security and privacy Surveys and overviews
Online-Zugang:	Volltext
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