This paper investigates the direct risks and harms associated with modern text-to-image
generative models, such as DALL-E and Midjourney, through a comprehensive literature …

State-of-the-art Text-to-Image models like Stable Diffusion and DALLE\cdot2 are
revolutionizing how people generate visual content. At the same time, society has serious …

Text-to-Image (T2I) generation is enabling new applications that support creators, designers,
and general end users of productivity software by generating illustrative content with high …

Text-to-image diffusion models, eg Stable Diffusion (SD), lately have shown remarkable
ability in high-quality content generation, and become one of the representatives for the …

Diffusion-based models have gained significant popularity for text-to-image generation due
to their exceptional image-generation capabilities. A risk with these models is the potential …

In recent years Text-to-Image (T2I) models have seen remarkable advancements gaining
widespread adoption. However this progress has inadvertently opened avenues for …

Data poisoning attacks manipulate training data to introduce unexpected behaviors into
machine learning models at training time. For text-to-image generative models with massive …

While text-to-image synthesis currently enjoys great popularity among researchers and the
general public, the security of these models has been neglected so far. Many text-guided …

Text-to-image generation models have recently attracted unprecedented attention as they
unlatch imaginative applications in all areas of life. However, developing such models …

Text-to-image generative models have achieved unprecedented success in generating high-
quality images based on natural language descriptions. However, it is shown that these …