AI-generated content (AIGC) models, represented by large language models
(LLM), have brought revolutionary changes to the content generation fields. The
high-speed and extensive 6G technology is an ideal platform for providing
powerful AIGC mobile service applications, while future 6G mobile networks also
need to support intelligent and personalized mobile generation services.
However, the significant ethical and security issues of current AIGC models,
such as adversarial attacks, privacy, and fairness, greatly affect the
credibility of 6G intelligent networks, especially in ensuring secure, private,
and fair AIGC applications. In this paper, we propose TrustGAIN, a novel
paradigm for trustworthy AIGC in 6G networks, to ensure trustworthy large-scale
AIGC services in future 6G networks. We first discuss the adversarial attacks
and privacy threats faced by AIGC systems in 6G networks, as well as the
corresponding protection issues. Subsequently, we emphasize the importance of
ensuring the unbiasedness and fairness of the mobile generative service in
future intelligent networks. In particular, we conduct a use case to
demonstrate that TrustGAIN can effectively guide the resistance against
malicious or generated false information. We believe that TrustGAIN is a
necessary paradigm for intelligent and trustworthy 6G networks to support AIGC
services, ensuring the security, privacy, and fairness of AIGC network
services.

提出了 TrustGAIN，一个新的可信的 AI 生成内容（AIGC）范式，以确保未来 6G 网络中可信的大规模 AIGC 服务。讨论了 6G 网络中 AIGC 系统面临的敌对攻击和隐私威胁，以及相应的保护问题，并强调了在未来智能网络中确保移动生成服务的公正性和公平性的重要性。通过实例说明 TrustGAIN 可以有效地抵御恶意或生成的虚假信息。认为 TrustGAIN 是支持 AIGC 服务的智能可信的 6G 网络的必要范式，以确保 AIGC 网络服务的安全性，隐私性和公平性。