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Challenges in GenAI and Authentication: a scoping review
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本文通过分析88篇文献,探讨人工智能时代认证和真实性在信息共享中的挑战,包括图像、文本、音频和视频,提出针对认证和生成式人工智能的新研究方向。

arXiv:2507.11775v1 Announce Type: cross Abstract: Authentication and authenticity have been a security challenge since the beginning of information sharing, especially in the context of digital information. With the advancement of generative artificial intelligence, these challenges have evolved, demanding a more up-to-date analysis of their impacts on society and system security. This work presents a scoping review that analyzed 88 documents from the IEEExplorer, Scopus, and ACM databases, promoting an analysis of the resulting portfolio through six guiding questions focusing on the most relevant work, challenges, attack surfaces, threats, proposed solutions, and gaps. Finally, the portfolio articles are analyzed through this guiding research lens and also receive individualized analysis. The results consistently outline the challenges, gaps, and threats related to images, text, audio, and video, thereby supporting new research in the areas of authentication and generative artificial intelligence.

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认证挑战 人工智能 信息共享 安全性 生成式AI
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