超越时空的隐藏图与多式联络AI链接
Ching-Chun Chang1, Isao Echizen2,3
1Information and Society Research Division, National Institute of Informatics, Tokyo, Japan. ccchang@nii.ac.jp.
Scientific reports
|April 15, 2025
概括
本研究引入了一种新的视听内容隐藏法,将信息嵌入语言领域,以克服人工智能产生的威胁. 这种方法确保了超越传统的空间和时间方法的安全和强大的秘密通信.
科学领域:
- 网络安全 网络安全
- 人工智能的人工智能
- 数字法医学数字法医学
背景情况:
- 隐藏图面临着人工智能生成的合成媒体的新威胁,有可能在空间和时间领域覆盖数据.
- 现有的方法容易被操纵,需要先进的技术来安全的秘密通信.
研究的目的:
- 为视听内容提出一个新的隐藏信息超越空间和时间领域的隐藏信息的隐藏信息范式.
- 开发一种多式人工智能系统,用于在视听数据的语言层中嵌入和提取消息.
主要方法:
- 开发了一系列多模式的人工智能 (AI),用于解构,嵌入和重建视听内容.
- 消息通过语言生成模型中的偏见词样本编码,并通过概率分布分析解码.
- 使用生物识别和语义相似性来评估忠实性,而通过统计比较来检查保密性.
主要成果:
- 拟议的方法在零位和多位设置中证明了准确的消息传输.
- 保持了高保真度,保留了生物识别和语义内容.
- 隐形摄影技术证明了对各种操作的稳定性,如重新采样,面部交换和语音克隆.
结论:
- 这种新的语言领域隐形图提供了一个强有力的解决方案来应对视听内容中人工智能驱动的威胁.
- 多式联络人工智能方法成功隐藏消息,确保数据完整性和安全性.
- 该方法提供了一个安全的通信通道,可以抵御复杂的网络攻击.
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