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

TL;DR

This paper reviews the privacy and security challenges in AI Generated Content (AIGC) and explores how advanced technologies like blockchain and privacy computing can address these issues to enhance system robustness.

Contribution

It systematically analyzes AIGC's challenges and investigates the potential of integrating blockchain and privacy computing for improved privacy and security.

Findings

Identifies key privacy and security challenges in AIGC

Discusses existing countermeasures and their limitations

Explores the potential of blockchain and privacy computing in AIGC

Abstract

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.