{"data":{"id":"6e57b8c1-04a4-4fcf-adb5-2076491e74a9","title":"I’ve Got Proof! Dataset-Specific Watermarking for Detecting Excessive Dataset Usage in Text-to-Image Diffusion Model Fine-Tuning","summary":"This research proposes DSW, a dataset-specific watermarking method to detect when text-to-image diffusion models (AI systems that generate images from text descriptions) are illegally fine-tuned (customized for specific tasks) using protected datasets. The method embeds a hidden watermark image representing the dataset owner into training data, then extracts it from images generated by models that used that data, creating a one-to-one link between the watermark and the specific misused dataset to prove intellectual property theft.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11415674","publishedAt":"2026-02-27T13:17:58.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["text-to-image diffusion models","LoRA"],"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":"2026-02-27T13:17:58.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}