{"data":{"id":"2cdf90f7-7a97-4c80-a5e7-2ad3e398349c","title":"Protecting Against Unauthorized Dataset Use in Fine-Tuning Text-to-Image Diffusion Models","summary":"Text-to-image AI models like Stable Diffusion can create realistic images but their training datasets risk being used without permission, which violates the rights of data owners. Researchers propose a dataset watermarking framework (a technique that embeds hidden markers into data to track and detect unauthorized use) that can detect when datasets are misused during fine-tuning (the process of adapting a pre-trained AI model to a specific task) while keeping the images high-quality and usable. The framework was tested on Stable Diffusion and showed it can reliably identify and trace dataset misuse with minimal changes to the original data.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11573063","publishedAt":"2026-06-19T13:18:12.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction"],"issueType":"research","affectedPackages":null,"affectedVendors":["Stability AI"],"affectedVendorsRaw":["Stable Diffusion"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-06-19T13:18:12.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":"peer_reviewed","atlasIds":null}}