基于人工智能的非结构化数据脱敏方法研究

Research on AI-based method for data masking of unstructured operational data

介绍了数据脱敏技术的相关信息,提出了利用BERT预训练语言模型结合Transformer编码器和条件随机场等人工智能技术处理文字、音频、图像、视频中敏感信息的方法,为解决数据安全和数据共享之间的矛盾提供了思路。

This article introduces the relevant information about data masking technology and proposes a method combining BERT,Transformer and CRF for using artificial intelligence to de-identify unstructured operational data.It provides a solution for balancing the issues of operational data security and data sharing.