Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI development. The content generated by related applications, such as text, images and audio, has sparked a heated discussion. Various derived AIGC applications are also gradually entering all walks of life, bringing unimaginable impact to people's daily lives. However, the rapid development of such generative tools has also raised concerns about privacy and security issues, and even copyright issues in AIGC. We note that advanced technologies such as blockchain and privacy computing can be combined with AIGC tools, but no work has yet been done to investigate their relevance and prospect in a systematic and detailed way. Therefore it is necessary to investigate how they can be used to protect the privacy and security of data in AIGC by fully exploring the aforementioned technologies. In this paper, we first systematically review the concept, classification and underlying technologies of AIGC. Then, we discuss the privacy and security challenges faced by AIGC from multiple perspectives and purposefully list the countermeasures that currently exist. We hope our survey will help researchers and industry to build a more secure and robust AIGC system.

翻译：人工智能生成内容（AIGC）是人工智能发展的最新成果之一。相关应用生成的文本、图像和音频等内容已引发热烈讨论。各类衍生AIGC应用也逐渐渗透各行各业，给人们的日常生活带来难以想象的影响。然而，此类生成式工具的快速发展也引发了对AIGC中隐私与安全问题乃至版权问题的担忧。我们注意到，区块链和隐私计算等先进技术可与AIGC工具相结合，但目前尚无工作系统且详细地探究其相关性与前景。因此，有必要通过充分探究上述技术，研究如何将其用于保护AIGC中数据的隐私与安全。本文首先系统回顾了AIGC的概念、分类及底层技术。随后，我们从多角度探讨AIGC面临的隐私与安全挑战，并有针对性地列举了现有应对措施。我们希望本综述能帮助研究人员和业界构建更加安全稳健的AIGC系统。