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

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond