# T2I-Attack

- [On Copyright Risks of Text-to-Image Diffusion Models](/foundation-model-sec/t2i-attack/on-copyright-risks-of-text-to-image-diffusion-models.md)
- [ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users](/foundation-model-sec/t2i-attack/art-automatic-red-teaming-for-text-to-image-models-to-protect-benign-users.md)
- [On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts](/foundation-model-sec/t2i-attack/on-the-proactive-generation-of-unsafe-images-from-text-to-image-models-using-benign-prompts.md)
- [Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts](/foundation-model-sec/t2i-attack/prompting4debugging-red-teaming-text-to-image-diffusion-models-by-finding-problematic-prompts.md)
- [SneakyPrompt: Jailbreaking Text-to-image Generative Models](/foundation-model-sec/t2i-attack/sneakyprompt-jailbreaking-text-to-image-generative-models.md)
- [The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breach](/foundation-model-sec/t2i-attack/the-stronger-the-diffusion-model-the-easier-the-backdoor-data-poisoning-to-induce-copyright-breach.md)
- [Discovering Universal Semantic Triggers for Text-to-Image Synthesis](/foundation-model-sec/t2i-attack/discovering-universal-semantic-triggers-for-text-to-image-synthesis.md)
- [Automatic Jailbreaking of the Text-to-Image Generative AI Systems](/foundation-model-sec/t2i-attack/automatic-jailbreaking-of-the-text-to-image-generative-ai-systems.md)
