深度假冒:定义,性能指标和标准,数据集,以及一个meta-review
Enes Altuncu1, Virginia N L Franqueira1, Shujun Li1
1Institute of Cyber Security for Society (iCSS) & School of Computing, University of Kent, Canterbury, United Kingdom.
Frontiers in big data
|September 19, 2024
概括
本文提供了关于深度假冒技术的全面概述,涵盖定义,指标,数据集和挑战. 它综合了研究,为快速发展的合成媒体领域提供了洞察力.
科学领域:
- 人工智能的人工智能
- 计算机视觉 计算机视觉
- 数字媒体法医数字媒体法医
背景情况:
- 深度学习的进步推动了现实的合成媒体的创建和操纵,导致了深度假冒技术的出现.
- 深度假冒的扩散在各个领域都带来了重大挑战,需要对该领域有彻底的了解.
研究的目的:
- 提供关于深度假冒技术的全面概述.
- 分析关键方面,包括定义,性能指标和数据集.
- 对最近的深度假冒调查论文进行元综述,以确定挑战和建议.
主要方法:
- 英语研究论文和资源的文献综述.
- 自2020年以来出版的15篇选定的深度假调查论文的元综述.
- 定义,绩效指标,数据集,挑战和建议的分析.
主要成果:
- 识别和分类了深度假冒的不同定义.
- 列出常用的性能指标和深度假冒检测标准.
- 编制了与深度假冒相关的相关数据集列表.
- 综合了15篇调查论文的发现,突出了关键挑战并提出了建议.
结论:
- 这篇论文提供了迄今为止最全面的深度假冒技术审查.
- 了解深度假的定义,指标,数据集和挑战对于解决其影响至关重要.
- 这些发现为该领域的研究人员和从业人员提供了宝贵的资源.
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