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English(EN) Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

新调查详细介绍了深度伪造的生成和检测方法

研究人员发布了一份关于深度伪造媒体生成和检测技术的综合性调查报告,涵盖图像、视频、音频和多模态内容。该论文对各种深度伪造类型进行了分类,并概述了创建和检测的方法。报告还展示了流行数据集上深度伪造检测器的更新排名,并引入了一个新的多模态基准,旨在测试检测器在未见过生成内容上的泛化能力。研究结果表明,当前最先进的检测器在处理新颖生成方法产生的深度伪造时,性能难以有效发挥。 AI

影响 提供对深度伪造技术的结构化概述,帮助研究人员和开发人员理解当前的检测能力和挑战。

排序理由 学术论文,详细介绍了对某一技术领域的调查。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新调查详细介绍了深度伪造的生成和检测方法

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
学术论文,详细介绍了对某一技术领域的调查。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
81 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru, Nicolae Catalin Ristea, Paul Irofti, Marius Popescu, Cristian Rusu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah ·

    生成式AI时代深度伪造媒体的生成与检测:综述与展望

    arXiv:2411.19537v2 Announce Type: replace-cross Abstract: We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content. We identify various kinds of deepfakes and construct taxonomies of deepfake generation …