This comprehensive survey maps the trustworthiness landscape of state-of-the-art generative models, exposing critical security concerns for organizations deploying these technologies.

• Examines multiple dimensions of trustworthiness including safety, security, ethics, and reliability
• Identifies specific vulnerabilities in both diffusion models and large language models
• Highlights emerging threats as these models become more widespread
• Provides actionable recommendations for secure implementation

As generative AI becomes mainstream, understanding these security implications is essential for organizations to mitigate risks while leveraging the benefits of these powerful technologies.

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook