{"data":{"id":"078f0067-0f25-4c8e-b39f-4d8d274cd291","title":"PersGuard: Preventing Malicious Personalization in Text-to-Image Diffusion Models via Model Backdoors","summary":"PersGuard is a backdoor-based framework that protects pre-trained text-to-image diffusion models from unauthorized personalization. Protectors embed a backdoor before release, so that fine-tuning on protected images triggers predefined protective outputs, while unprotected images cause the backdoor to be removed during fine-tuning. The authors report superior privacy protection over perturbation-based methods across gray-box and black-box settings, multi-object protection, and facial identity protection.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11523584","publishedAt":"2026-05-19T13:17:51.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["text-to-image diffusion models"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-05-19T13:17:51.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}